New reference: - dart-aot.md: pinning the Dart version, building a matching decompiler, the object-pool model and reference indexes, register/boolean conventions, the three assembly signatures that identify most business logic, the locating workflow, patch strategy, and the traps specific to this layer (including ambiguous identifiers that resolve to protocol fields). New scripts (parameterized, no machine-specific paths): - dart_pprefs.py: object-pool offset -> code-site index, decoded arithmetically. Avoids the full-capstone pass that costs minutes and 1-2 GB and reads as a hang. - dart_pool_strings.py: framed literal recovery with file offsets. Defaults to one-byte because automatic two-byte (UTF-16) detection is unreliable; --find searches both encodings and is the reliable way to locate a known literal. - dart_disasm.py: annotated windowed disassembly (pool + boolean annotations) and a B/BL caller index that needs no disassembler. Fixes and integration: - framework-runtimes.md: point the Dart depth at dart-aot.md, and make the string-encoding rule precise (ASCII is one-byte/UTF-8; CJK is UTF-16LE) instead of leaving it as 'try both'. - pitfalls.md: P26 -- self-built tooling that fails in a way that reads as a target finding (silent arithmetic, helper shadowing a stdlib module, measuring against an incomplete reference, and a knob that does not move the metric). - SKILL.md / README.md: index the new reference and scripts. Validated by running all three scripts against a real Dart AOT sample: the pool-ref index agrees with an independently built index to 99.2%, and the literal extractor's one-byte output was verified string-by-string against a decompiler's pool listing.
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Pitfalls — the failure catalogue
Every entry here cost real time and produced a silently broken artifact. Skim this before building. When you lose more than thirty minutes to something new, add it here.
Each entry: symptom → root cause → why it is hard to see → what to do instead.
P1. Stripping the whole META-INF/ breaks the app at startup
Symptom
java.lang.IllegalStateException: Module with the Main dispatcher is missing.
Add dependency providing the Main dispatcher, e.g. 'kotlinx-coroutines-android'
App dies immediately on launch. Sometimes a different ClassNotFoundException for an unrelated library class.
Root cause
META-INF/ is not only signatures. It holds ServiceLoader registrations that Android reads at runtime. Deleting the directory to prepare for re-signing deletes them too.
Real examples found in one APK:
META-INF/services/kotlinx.coroutines.internal.MainDispatcherFactory -> kc
META-INF/services/io.ktor.client.engine.HttpClientEngineContainer -> OkHttpEngineContainer
META-INF/services/io.ktor.serialization.kotlinx.KotlinxSerializationExtensionProvider
META-INF/services/kotlinx.coroutines.CoroutineExceptionHandler -> wc
META-INF/services/com.arialyy.aria.core.inf.IUtil
META-INF/services/com.arialyy.aria.core.listener.IEventListener
Why it is hard to see The error message names Kotlin coroutines, not your repack. You will spend an hour blaming the dex.
Do instead
Strip only signature artifacts, and only at the top level of META-INF/:
SIG = ('MANIFEST.MF',)
SIG_EXT = ('.SF', '.RSA', '.DSA', '.EC')
def is_signature_entry(name):
if not name.upper().startswith('META-INF/'):
return False
rest = name[len('META-INF/'):]
if '/' in rest: # services/, androidx/, native-image/ ... keep
return False
up = rest.upper()
return up in SIG or up.endswith(SIG_EXT)
scripts/repack.py already does this.
P2. Byte-level string patching without an ordering check rejects the whole dex
Symptom App cannot load any class:
ClassNotFoundException: Didn't find class "<App.Application>" on path: DexPathList[[zip file ".../base.apk"]]
Application construction fails, process never starts.
Root cause
Dex requires the string_ids table to be sorted. Replacing a string with an equal-length string keeps all offsets valid, but changes where that entry should sit in the sorted order. If the new value crosses its neighbours, the loader rejects the entire dex.
Concrete case: /app/adverts sat between /api/v1/crashtrack/upload?chk= and /app/configs/. Replacing it with /app/noadver put n after c → out of order → whole dex rejected. Replacing with /app/blocked (b < c) was accepted.
Why it is hard to see
checksum (adler32) and signature (SHA-1) recompute perfectly, so every integrity check passes. baksmali parses the file fine. Only the runtime loader cares about ordering.
Do instead
Always run the ordering guard: scripts/dex_strpatch.py looks up the target's neighbours in string_ids and refuses any replacement outside (prev, next). Pick a candidate that stays inside the interval.
P3. Whole-tree smali round-trip damages R8-optimized dex
Symptom App installs, then dies with:
java.lang.IncompatibleClassChangeError: Found interface io.ktor.client.engine.HttpClientEngine,
but class was expected
at io.ktor.client.engine.HttpClientEngine.access$checkExtensions(...)
(or VerifyError, or a class-load failure in an unrelated library)
Root cause
baksmali → smali rebuild does not faithfully reproduce R8's synthetic access bridges / optimization artifacts. The class is still declared as an interface, but the bridge method that ART expects to find as a class member is gone.
Why it is hard to see
A structural diff of class_def entries shows nothing: same class count, zero ACC_INTERFACE mismatches, zero access-flag differences. The damage is at the code-item / reference level, invisible to table-level checks. It only appears at runtime.
Do instead
Use method-level surgical rewriting with dexlib2 — read the dex, replace only the target method's implementation, write it back. See scripts/dexpatch/. Never rebuild the whole tree for a one-method change.
P4. Rewriting the same dex twice makes ART refuse to start the process
Symptom
E/ActivityManager: Failure starting process <pkg>
I/ActivityManager: Force stopping <pkg> appid=... user=0: start failure
No Java exception anywhere. logcat shows a splash screen appearing then vanishing. baksmali still parses the dex, and smali re-assembles it fine.
Root cause
Serializing a dex a second time loses metadata that the first serialization preserved. Chaining two patch tools over the same file (patch A → patch B → repack) triggers this.
Why it is hard to see Both intermediate files look valid and round-trip cleanly. Only ART rejects the final one.
Do instead
Combine all edits to one dex into a single read/write pass. One program, one loadDexFile, apply every change, one writeDexFile.
P5. Killing an endpoint to hide a UI element takes the whole screen down
Symptom Home screen becomes the app's generic error state ("something went wrong / retry"), or a blank screen, after redirecting or 404-ing an ad endpoint.
Root cause The ad request is a child request of the screen's main data load. When it throws, the parent load fails with it.
Concrete case: /app/adverts was redirected to a nonexistent path. That endpoint is requested from inside MainScreenStore.loadData as a sub-request, so the home screen's entire data load failed.
Why it is hard to see Removing ads sounds like it should only remove ads. The coupling is invisible until runtime.
Do instead Suppress at the data-consumption or render layer, not at the transport layer. Let the request succeed and discard/ignore the result. Never make a shared endpoint fail.
P6. Patching a shared helper breaks unrelated features
Symptom Images stop loading, video playback fails, or downloads break — after patching something that looked ad-specific.
Root causes, two variants
- Patching a generic utility: a
Long.valueOf-style boxing helper had 30+ callers across player, download, paging and history sync. Patching it would have broken all of them. - Patching a "card" renderer you assumed was ad-only: the composable's signature was
(itemModel, ColorScheme, Modifier, onClick, ContentScale, Shape, Composer, II)— a generic image card shared by normal content. Making itreturn-voidkilled all cover art and the player pipeline.
Why it is hard to see The class name and the model type it consumes suggest it is ad-specific. It is not.
Do instead
Before patching any method, count its callers (scripts/find_refs.py). If it has many, or if its parameters look content-generic (image/graphics/Modifier/ContentScale parameters), it is not specific to your target. Also check whether the parameter model type is shared with non-ad content.
P7. Client-side VIP forgery breaks the app instead of unlocking it
Symptom Blank screen; or logged in, but playback fails.
Root cause
The authoritative gate is server-side. Real access is granted by an API response. Forcing the client's local isVip() to true makes the client believe it has rights the server will not honor, so it walks a path that assumes data it never receives.
Concrete case: /v2/sections/{id}/play-url returns 401 with no token and 401 with a forged Bearer token; metadata endpoints returned 200 but deliberately omitted any play URL. Patching local VIP state produced a white screen.
Do instead
Determine server authority before patching. See references/membership-and-limits.md. If the gate is server-side, the honest deliverable is "not achievable client-side", plus any genuinely client-side wins (unlocking UI, removing ads).
P8. DataStore / protobuf hand-editing fails silently
Symptom
App dies with a bare uncaughtException and no stack trace (a crash-reporter SDK swallowed it). Or the app launches but ignores your injected value.
Root cause (encoding)
AndroidX Preferences maps are protobuf map<string, Value> fields. An entry needs two levels of tag:
outer : 0A <len(entry)>
inner : 0A <len(key)> <key> 12 <len(value)> <value>
Writing only the inner part produces a file DataStore cannot deserialize.
Root cause (lifecycle)
DataStore caches in memory and writes back. Editing the file while the app runs is either ignored or overwritten. Also the file is owned by the app's uid — a file written as root with the wrong owner is unreadable to the app.
Do instead
- Encode with
scripts/datastore_inject.py(implements both tag levels). force-stopthe app first, write, then start.- Preserve ownership: write via
su, thenchownto the app uid (orcp -fover the existing file, which keeps its owner). - If a value must survive a fresh install, code-level patching is the only way — runtime data is not part of the APK.
P9. Blaming the patch when the device or environment is broken
Symptom Every build fails, including a completely unmodified original.
Root causes seen in practice
- Device in a bad state:
Failure starting processfor all builds (including stock). A device reboot fixed it. - Offline device: app shows a generic network error, easily mistaken for a server rejection or signature problem.
- App data directory uid mismatch after reinstall: crashes in a database-init path (
Cannot open database ... Directory ... doesn't exist). Fix withchown -R <uid>:<uid> /data/user/0/<pkg>. - Emulator that cannot run the app at all (different ABI, missing platform pieces). A working emulator is not evidence about a real device.
Do instead Always run a control. Install and launch the unmodified original under the exact same conditions. If the original fails too, stop debugging your patch.
P10. Trusting static decompilation over runtime behavior
Symptom You patch what the decompiler showed, and nothing changes; or the app crashes in a path you did not know existed.
Root cause Decompiler output is a guess reconstructed from bytecode. Interface/class relationships, inlined code, and obfuscated bridges are regularly misrepresented. Also, dead code and shadowed branches look identical to live ones.
Do instead Rank evidence: live runtime behavior > captured network traffic > served assets > current process/config state > persisted state > generated artifacts > source > comments and dead code. Use source to explain runtime, not to override it.
P11. Assuming a repackaged APK ships runtime data
Symptom A fix verified on the target device does not work after a fresh install.
Root cause
Some fixes are runtime data, not code: a DataStore value, a preferences file, a cached token. Those live in /data/data/<pkg>/ and are gone on a clean install.
Do instead Ask, for every fix: is this in the APK or in app data? If it is app data and the deliverable is an APK, re-implement it as a code-level change (patch the read path so it always yields the desired value).
P12. PowerShell (or any shell) eats device-side commands
Symptom
adb shell "su -c '...'" fails with host-side path or parsing errors: "Could not find a part of the path", "Missing type name after '['", unexpanded $VAR, or a regex that got mangled.
Root cause
The host shell expands $, |, >, and quotes before adb sees them. Windows PowerShell additionally mangles $var:, [^"] and $(.
Do instead Never build device commands inline in the host shell. Either:
- call adb from a small script file (
scripts/devsh.py), or - put the device-side logic in a script that you push and execute.
Same rule for javac: always pass -encoding UTF-8 when sources contain non-ASCII, or the compiler reads them as the platform default and fails.
P13. Trusting apksigner verify output at face value
Symptom You signed with v1+v2+v3 explicitly enabled, then verification reports:
Verified using v1 scheme (JAR signing): false
Verified using v2 scheme (APK Signature Scheme v2): false
Verified using v3 scheme (APK Signature Scheme v3): true
Looks like v1/v2 silently did not happen, so you go re-engineer the signing step.
Root cause
apksigner verify decides which schemes it is meaningful to check from the APK's own minSdkVersion. When minSdkVersion >= 24, v1 is not required for install, and the tool reports it as false rather than "not applicable". The signatures are present and valid.
Why it is hard to see Nothing in the output says "skipped because of minSdk". It reads exactly like a failure.
Do instead Always verify with an explicit range so every scheme is evaluated:
apksigner verify --print-certs --verbose --min-sdk-version 21 --max-sdk-version 34 <apk>
Cross-check the fact independently: a real v1 signature means META-INF/*.SF and META-INF/*.RSA exist in the zip.
P14. Treating same-size dex dumps as duplicates
Symptom You deduplicate a memory dump by file size, keep one of each, and later find the kept dex is unusable (or silently wrong).
Root cause Two dumps from the same process can have identical byte length but different content — different classes, even different dex version headers. One may additionally be structurally broken (header fields inconsistent with body, parser walks off the end of a table).
Why it is hard to see Size equality is a tempting shortcut and is usually right for file duplicates. Here it is coincidence: two distinct dex objects were allocated to equal-length blocks.
Do instead
- Deduplicate by hash, never by size.
- Validate every candidate before trusting it: check the
dex\n0xxmagic, then sanity-check the reportedfile_size/header_size/ map offsets against the actual byte length. - Cross-check against the packing format when possible: with length-preserving encryption, the encrypted payload's byte length equals the plaintext dex's byte length — that mapping is the strongest signal for which dump is the original.
P15. Frida version skew produces errors that look like a broken target
Symptom Attach fails or the script dies immediately with errors such as:
unable to locate Android dynamic linker
Java is not defined
on a device where Frida is clearly running.
Root cause
A host frida package newer than the device's frida-server (or the reverse) is unsupported. Additionally, some newer host versions dropped the built-in Java bridge, so Java.perform is undefined unless you inline the bridge yourself.
Why it is hard to see The error names the linker or a missing global, not a version mismatch. It reads like an Android compatibility problem or an anti-instrumentation defense.
Do instead
- Pin host package and device server to the identical version before debugging anything else. Print both versions side by side first.
- If the target is an older Android release, prefer the oldest version that still supports your API needs rather than the newest.
- On a device with multiple attached targets, do not rely on automatic USB selection — see
references/dynamic-frida.md.
P16. Blaming your own patch for a server-side TLS failure
Symptom After repacking, the app launches and browsing works, but login / registration fails with a network error. The obvious suspect is the new signature breaking the API contract, so you start hunting for a signature check in the client.
Root cause The failure is at the TLS layer, not the application layer: the API host's certificate is expired (or the chain does not validate), and that particular request path validates against the system trust store. Shipping a different signature is irrelevant.
Crucially, one app can carry two independent trust chains: requests through the app's own HTTP client (which may install a permissive SSLSocketFactory and HostnameVerifier) succeed, while requests through java.net.URL.openConnection() use the system defaults and fail. That is why "some features work" and "login does not".
Why it is hard to see
The user-visible message is a generic "network error". The real exception is usually swallowed by the app's own try/catch. And a client-side patch is the most recent change, so it gets blamed by default.
Do instead
- Capture the whole exception chain before theorizing. The give-away is
CertPathValidatorException: timestamp check failed→CertificateException: Chain validation failed→SSLHandshakeException: Chain validation failed. - Confirm independently of the app: strictly validate the host's certificate from your host machine and check
notAfteragainst the device clock. Seereferences/tls-and-cert.md. - Run the control: does the unmodified original fail the same way on the same device and network? If yes, it was never your patch.
P17. Trusting UI automation to prove whether a patch worked
Symptom Your script taps a button, nothing happens, and you conclude the patch broke the control. Or you tap, see no visible change, and conclude the feature is dead.
Root cause Device input and screenshots are far less reliable than they look:
input tapcan silently fail on specific widgets even with correct coordinates (ROM-dependent).inputneedsINJECT_EVENTS; under a plain shell it fails quietly.screencapcan return a zero-byte file on some ROMs.- Form submission can be rejected by local validation before any request is made, so "the button does nothing" is a validation failure, not a broken handler.
Why it is hard to see All of these produce the same observable: nothing happens. A zero-byte screenshot often goes unnoticed and is treated as "no change".
Do instead
- Read back the widget tree (
uiautomator dump) instead of trusting pixels: it gives realbounds, control text, and field contents with lengths. Verify every field is populated correctly before submitting. - Compare field values, not just presence — one case that burned an hour was two password fields of different length, causing local validation to
returnbefore any network call. - Treat "no visible change" as unproven, not as a negative result: confirm with an independent signal (logcat, a runtime probe, or a server-side request appearing in the capture).
- If a tap does not register, fall back to launching the Activity directly or invoking the handler, rather than retrying coordinates.
P18. The package manager reported success, but the build was never installed
Symptom
Every install logs Success, so you run the next experiment and read its result — but the app being
tested is still the previous build. Screenshots show stale UI or the launcher, and results look
"unchanged".
Root cause On many ROMs a package installer interposes its own confirmation. The install command can return success for the request, while the actual install waits on a prompt — sometimes a password or account confirmation — that nobody fills in. The app stays at its old version indefinitely.
This is the most expensive failure in this skill's history: because the command "succeeded", the stale behaviour was measured across many rounds, and each measurement looked like a genuine negative result.
Why it is hard to see The success signal is real; it just answers a different question than the one you asked. Nothing in a normal install/launch script distinguishes "installed" from "install requested".
Do instead
- After installing, prove the artifact changed: compare
dumpsys package <pkg> | grep -E 'versionName|lastUpdateTime'before and after, or hash the on-device APK and compare it to what you built. - If a confirmation UI exists, drive it explicitly (type the credential, press the confirm control) and then re-verify.
- Make the check a precondition of the run, not an afterthought: if the version did not change, abort rather than measuring.
- Keep build artifacts named after the change they contain so a stale install is obvious from a screenshot.
P19. Substituting an internal signal for the user-visible outcome
Symptom An error disappears from the log, no crash is recorded, and you report the problem solved. The user immediately shows you the same problem still on screen.
Root cause The internal signal and the user-visible outcome are different claims. Suppressing one error path does not remove the symptom if the symptom is produced by a different path — and a blocking dialog often is. The log going quiet proves that one code path was affected; it says nothing about whether the user's problem is gone.
Why it is hard to see The signal is specific, measurable, and genuinely changed. It is a true statement being used to support a false one.
Do instead
- Define "done" as the user-visible behaviour: the blocking UI is gone, the app reaches its normal screen, the feature works. Nothing else counts.
- Treat the absence of a log line as absence of evidence, never as evidence of success.
- When a symptom persists after an internal signal improves, assume there is another producer of the symptom and go find it, rather than assuming your fix is merely incomplete.
- Also verify the opposite direction: confirm the original symptom is reproducible before you patch, so you know what disappearing would even look like.
P20. "I did not capture it" treated as "it is not there"
Symptom Screenshots taken every few seconds after launch show no blocking dialog, so the dialog is declared gone — then it turns out to be present the whole time.
Root cause Sampling is not observation. A transient state that appears and is then covered (a second window, a navigation, a system prompt) can fall entirely between samples. The modal appears, gets occluded, and every frame you happened to take shows something else.
Why it is hard to see The captures are real and consistently show the same thing, which feels like corroboration. Conviction grows with the number of frames, even though all of them share the same blind spot.
Do instead
- For anything time-sensitive, capture continuously (recording) or in a dense burst immediately after launch, not on a fixed slow interval.
- Look at every frame, not only at file sizes. A byte-size cluster that "looks familiar" is not a reading.
- State conclusions with their sampling: "not observed in N consecutive seconds of recording" is honest; "does not occur" is not.
- When something is reported present by a human who is looking at the screen, believe the screen. Your capture gap is the more likely explanation.
P21. Changing two things at once, then attributing the result
Symptom A build fails, and you conclude that the mechanism you were most curious about is the culprit — then exclude it from consideration for a long time. Later, a clean experiment shows it was the other change all along.
Root cause Two edits, one observation, no attribution. The failure is real; the explanation is invented. Worse, the invented explanation survives because it sounds plausible and no one re-tests it.
Why it is hard to see The experiment "worked" in the sense that it produced a result. Acting on a wrong attribution feels exactly like acting on a right one until much later.
Do instead
- One variable per install-and-launch cycle. Where a combination is unavoidable, add a third run that isolates each half.
- Write the attribution into your notes with the run that proves it. An unproven cause is a hypothesis; keep it labelled as one.
- When a route is about to be discarded, re-check whether the evidence was actually single-variable. A discarded route with compound evidence should be re-opened before being abandoned.
- Prefer semantically inert controls (a change nothing reads) to prove "edits of this class are allowed" separately from "this specific edit is allowed".
P22. Waiting for something that requires a human to advance
Symptom An automation loop polls for minutes or longer, waiting for a state that never arrives on its own. Time is consumed while nothing at all can change.
Root cause The awaited state is gated on a human action — a consent prompt, a permission dialog, an installer confirmation, a captcha. No amount of waiting resolves it. Automated polling is the wrong instrument for a state whose transition is external.
Why it is hard to see Polling is cheap-looking and the loop reports progress (timestamps, unchanged screenshots), which creates an impression of work being done.
Do instead
- Before waiting on a state, ask what would cause it to change. If the answer is "a person", stop waiting and either perform the action programmatically or hand it back.
- Bound every wait with a deadline and an explicit failure branch that does something different, not just a longer timeout.
- Detect stalls by change, not by elapsed time: if N consecutive samples are identical, break out.
- Prefer driving the prompt to completion over waiting it out — the same prompt usually recurs, so automating it once pays back immediately.
P23. The fix lives in a file the app rewrites
Symptom You change a value in the app's data, the write succeeds, the file reads back correctly — and after the next launch the value is back to what it was. Often byte for byte identical, which makes it look like nothing happened at all.
Root cause The stored value is a cache, not a source of truth. Either the app re-fetches it and re-persists it, or it rewrites the file from its own defaults on every start. Your edit was never authoritative.
Compounding it: the intuitive way to protect the file — a restrictive mode or a changed owner — does
not work, because the app does not open-and-write the existing file. It deletes the file and
creates a new one, and a new file is created with the app's own mode and owner. Nothing is inherited,
so chmod/chown are silently ineffective.
Why it is hard to see Verification is usually done immediately after writing, while the file is still correct. The rewrite only happens on the next start, which is one step further along than you looked. And the "fix" that seems obviously right (tighten permissions) fails without any error.
Do instead
- Verify after a relaunch, not after the write. The write succeeding is not the finding; surviving a restart is.
- Distinguish the two causes with one offline launch. If the value survives with the network down, it came from the server. If it does not, the app is regenerating it locally — and then a data edit is the wrong layer entirely; patch the read path instead.
- To make a data edit stick, use the immutable attribute and confirm it took effect:
It is enforced by the filesystem against the delete itself, which is why it holds where permissions do not. Undo with
su -c "chattr +i <file>"; su -c "lsattr <file>" # expect the 'i' flagchattr -i. - Then exercise the feature, not just the value. A blocked write the app depends on can make it misbehave; "the file still has my value" is not "the app still works".
- Remember a lock is device state, not artifact state — it does not travel with an APK. Record it
as an environment requirement. The only form that ships is a code patch (
runtime-data.md).
P24. The artifact changed, but the wrong one is executing
Symptom The build differs from the original, the pipeline reports success, the file on disk is genuinely modified — and the app behaves exactly as before. Or a native hook reports nothing while the feature plainly runs.
Root cause Something other than your edit is being used at runtime:
- Wrong ABI. A fat APK ships several
lib/<abi>/directories; the package manager extracts and loads one. Editingarm64-v8awhile the device loadsarmeabi-v7aproduces a byte-different, behaviorally identical build. - The library is not from the APK at all. Some libraries are written into the app's data directory at runtime rather than extracted from the package. Patching the APK copy changes a file nobody loads.
- Multiple processes. The work was done in, or the check lives in, a different process than the one you are observing.
- A stale install. The package manager reported success for a request that did not replace what is
on disk (
P18).
Why it is hard to see Every local indicator agrees: the diff is non-empty, the build is signed, the install returned success. Nothing in the build pipeline can detect this, because the build is fine. The contradiction only exists at runtime.
Do instead
- Ask the running process what it loaded, before editing:
scripts/lib_map.py --pkg <pkg>. Libraries whose path is not under the installed APK's lib directory were materialized at runtime and belong to whatever produced them. - Confirm the ABI the package manager actually chose (
dumpsys package <pkg> | grep primaryCpuAbi) rather than the one you assumed from the manifest. - If the library you patched is not in the live mapping, stop. No amount of re-patching helps; the plan is wrong.
- Treat a behaviorally identical rebuild as positive evidence that your edit is not being loaded, not as "the change had no effect". Those are different conclusions and only one of them is actionable.
P25. "The search found nothing" treated as "the data is not there"
Symptom You scan an artifact for a known-present value — a UI label, a marker string, an endpoint — get zero hits, and conclude the content is stripped, encrypted, or otherwise unavailable. A route gets written off on that basis.
Root cause The search used the wrong representation. A byte scan for UTF-8 text returns nothing against content that is stored as UTF-16, or compressed, or framed inside a container, or split across fragments. The data is present; the needle was encoded differently from the haystack.
Why it is hard to see "Zero results" is a clean, confident-looking output. It feels like a measurement, so it gets recorded as a finding, and findings propagate into the plan.
Do instead
- Before concluding absence, search more than one encoding. UTF-8 and UTF-16LE will between them
cover most text storage:
blob.find(needle.encode('utf-8')), blob.find(needle.encode('utf-16-le')) - Search the shortest distinctive fragment. Text is often assembled from pieces or templates, so a full sentence can be absent while its parts are present.
- Try the value without its framing. A hit rate of zero is also the expected result for content
that is inside a compressed or encoded container — decode the container first (
runtime-data.md,scripts/blob_decode.py). - State a negative result with its scope: "no UTF-8 or UTF-16LE literal match in this artifact" is a finding. "The string does not exist" is a guess wearing a finding's clothes.
P26. A self-built analysis script fails in a way that reads as a target finding
Symptom A purpose-written script emits something that looks like a result -- an offset table, a count, a "no matches" verdict -- and it is wrong. Nothing in the output says so, so it gets recorded as a finding and the plan is built on top of it.
Root cause Three variants, all hit in a single project:
- A silent arithmetic error.
(w >> 10) & 0xFFF << 12binds as& (0xFFF << 12)in Python, so the intended mask silently became a different one. The script ran clean and printed a plausible table; every offset in it was wrong. - A helper script shadowing a stdlib module. A local file named
dis.pycaptures anyimport disperformed inside a third-party package. The symptom appears as a circular-import error inside that package, which reads like a broken dependency rather than a local name clash. - Measuring against an incomplete reference. A "precision" number computed against a partial listing reports the reference's gaps as your errors. Here it scored a working extractor at ~30% when the reference itself was the incomplete side.
Why it is hard to see The tool is trusted by default, because you wrote it for this exact job. Its output is well-formed and arrives fast, which reads as competence.
Do instead
- Sanity-check the shape before the content. A ratio or distribution that is implausible for the domain is a bug signal -- e.g. an average of 31 references per offset when the rest of the picture implies ~3.
- Cross-check against an independently built artifact. Two independent producers agreeing to ~99% is evidence; one producer's own output never is.
- Histogram before choosing a threshold, and re-measure after changing it. If moving a knob does not move the metric, the knob is not doing what you think (a run-length filter here barely changed accuracy across a 10x range, which is how it was caught).
- Exercise any fallback path against a case whose answer is already known. An accuracy claim derived only from the tool's own output means nothing.
- Name helpers so they cannot shadow a module (
dart_disasm.py, notdis.py), and keep a timeout on every scan (SKILL.md).