blindspot-pass
Skill339 starsChanged 2 months agoMITView on GitHub
Surface the user's unknown unknowns before work starts. Use when the user is entering an unfamiliar codebase area, an unfamiliar domain (design, video, infra), or explicitly asks for a "blindspot pass" or to find their "unknown unknowns.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- jellydn/my-ai-toolstheir own version, first seen Oct 18, 2026
- edenbuilds/agentloopword for word, first seen Oct 13, 2026
- Bossmann007/cursor-kittheir own version, first seen Sep 18, 2026
- orenluxy/fable-methodtheir own version, first seen Jul 10, 2026
Other versions4 projects use a version of this.
Word for word · 1
- edenbuilds/agentloop★ 0100% same
Edited · 0
None found.
Wrote their own version · 3
- jellydn/my-ai-tools★ 127same name
- orenluxy/fable-method★ 1same name
- Bossmann007/cursor-kit★ 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 repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-interface-designSkill
- assumption-testSkill
- brainstorm-prototypesSkill
- change-quizSkill
- context-auditSkill
- implementation-notesSkill
- implementation-planSkill
- interview-meSkill
- pitch-packagerSkill
- progressive-disclosureSkill
- reference-huntSkill
- regression-proofSkill
- test-blindspotsSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
3
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
Ask (or infer from context) two things: what they're trying to do, and what their experience level is with this specific area.
- Distinctive: line 23
Do not start implementing.
- Distinctive: line 25
If the area turns out to be simpler than the user feared, say so plainly.
“Common” is measured: kept by at least 6 in 10 of the 3 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 pass
The user is about to work in territory they don't know well. Your job is not to do the task yet. Your job is to show them what they don't know they don't know, so their next prompt is better.
Steps
- Ask (or infer from context) two things: what they're trying to do, and what their experience level is with this specific area. Their starting point changes everything.
- Explore the relevant territory yourself: the module, its history, its conventions, prior art in the repo, and (if the domain is external) what practitioners consider table stakes.
- Report back in four sections:
- Landmines — the mistakes someone new here typically makes, and any repo-specific potholes (deprecated paths, misleading names, half-migrated patterns).
- Hidden context — decisions already made that constrain the work (why the code is shaped this way, invariants that must hold).
- What good looks like — 2-3 examples of the pattern done well, from this repo or elsewhere, so they can calibrate quality.
- Questions you should be asking — the 3-5 questions an expert would ask before starting, with your best guess at each answer.
- End with a rewritten version of their original request that incorporates what you found, so they can see the difference between their map and the territory.
Guardrails
- Do not start implementing. This skill ends at understanding.
- Prioritize unknowns that would change the architecture or the approach over trivia.
- If the area turns out to be simpler than the user feared, say so plainly. "You have no significant blindspots here" is a valid and valuable result.
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.

