blindspot
Skill5 starsChanged 2 months agoMITView on GitHub
Inspect unfamiliar or high-stakes code before edits, including auth, billing, and migrations.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- ajitta/know-your-unknownstheir own version, first seen Oct 27, 2026
- vinta/hal-9000their own version, first seen Oct 21, 2026
- dcbruck/claude-skillstheir own version, first seen Oct 20, 2026
- IdanTayree/Blindspottheir own version, first seen Oct 20, 2026
- scunning1975/MixtapeToolstheir own version, first seen Oct 8, 2026
- trac3r00/agent-skillstheir own version, first seen Aug 26, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- scunning1975/MixtapeTools★ 473same name
- vinta/hal-9000★ 142same name
- IdanTayree/Blindspot★ 8same name
- ajitta/know-your-unknowns★ 2same name
- dcbruck/claude-skills★ 1same name
- Jonely235/claude-skills★ 0same name
- trac3r00/agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository57 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Map the territory: Read the target module, its callers, its tests, and its config/env wiring.
- Distinctive: line 27
Hand off: If the user wants fixes, feed the cards into normal implementation flow (interview first if a card exposes a real decision).
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Blindspot
Hunt unknown unknowns: the risks nobody thought to ask about. Output is a short ranked set of blindspot cards, each grounded in this codebase with a concrete next move — never a generic risk checklist.
Steps
- Map the territory. Read the target module, its callers, its tests, and its config/env wiring. Blindspots live in the connections, not the file itself.
- Sweep the classic hiding places against the actual code:
- Hidden state and side effects (module-level mutables, caches, singletons)
- Implicit invariants the code assumes but never checks (ordering, uniqueness, non-null)
- Swallowed errors: catch blocks that hide failure, fallbacks that mask bugs
- Concurrency and ordering: races, double-fires, retry without idempotency
- Config/env coupling: behavior that changes across environments
- AuthZ edges: who else can reach this path, what happens unauthenticated
- Back-compat and migration traps: persisted data shaped by old code
- Write blindspot cards. Each card:
- What you likely don't know — one sentence
- Evidence —
file:linein this repo (no evidence, no card) - How it bites — the concrete failure scenario
- Next move — a question to answer or a copyable fix prompt
- Rank and cap. Order by blast-radius × likelihood. Max 7 cards — if you found 20, the bottom 13 are noise.
- Hand off. If the user wants fixes, feed the cards into normal implementation flow (interview first if a card exposes a real decision).
Common mistakes
- Generic risks not grounded in this code ("consider adding error handling") — every card cites
file:lineor gets cut. - Restating known unknowns the user already raised — the job is what they didn't ask.
- 20-card dumps — capping at 7 forces the ranking that makes the output usable.
- Reading only the target file — the callers and tests are where assumptions break.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

