impact-check
Skill2 starsChanged 39 days agoMITView on GitHub
Check what a change could break outside its diff, name the premise it is safe because of, and prove that premise by running the real code.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- DITlieD/ELAI-archivetheir own version, first seen Sep 5, 2026
- zjunlp/Mechanisttheir own version, first seen Jul 11, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- zjunlp/Mechanist★ 75same name
- DITlieD/ELAI-archive★ 24same 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 repository16 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- codebase-researchSkill
- context-transferSkill
- feature-pr-descriptionSkill
- how-it-worksSkill
- human-voice-writingSkill
- i18n-translateSkill
- memory-reviewSkill
- orchestrateSkill
- promotion-pr-descriptionSkill
- pr-review-triageSkill
- qa-testerSkill
- release-notesSkill
- thorough-diff-reviewSkill
- walkthroughSkill
- writeups-cleanupSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 54
Prove the premise: Write a throwaway script at the Repo facts location, outside the repo.
- Very specific: line 61
Second opinions, only on request and for a wide change: Run 2-3 read-only general-purpose subagents with model: "sonnet" and effort: …
- Very specific: line 89
If local.md exists next to this file, read it.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Impact check
Repo facts
This skill needs the facts below. Look each one up in the repo's CLAUDE.md (or AGENTS.md) and
the files it imports or points to (of a repo-facts file, only this skill's section:
sed -n '/^## impact-check$/,/^## /p' <file>), then in local.md next to this file. If neither has it, ask
the user once, then suggest the one line to add to CLAUDE.md so the next run finds it.
| Fact | Example |
| Where to run a throwaway proof script | the session scratchpad or $TMPDIR, run with the repo's runtime (node, pnpm exec tsx, python3) |
Purpose
Find what a change could break outside its lines, and back the verdict with code that ran, not a persuasive writeup. Listing callers is not the deliverable. The value is in breakage a symbol search cannot see.
Evidence labels
Label every claim the verdict rests on.
run: a script or test exercised the real code, with the library version the app ships. Its output is pasted.read: a citedfile:line(or the library's source) and a traced path showing the failure cannot be reached.assumed: neither. Allowed, but labelled, and never presented as settled.
A verdict with an assumed premise says so in its first line.
Steps
- Read the change. Take the diff: staged, a branch, or a PR (
gh pr diff <n>,gh pr view <n>). Note what changes implicitly: defaults, ordering, timing, types, formats, error paths. - Name the premise. It is the one or two facts that make the change safe if they hold, for example "the removed cache key is never read after startup". Most risky-looking changes reduce to one. Spend the effort here, not on a long list.
- Look past the symbol search. It misses:
- serialized forms: API JSON, DB columns, cache keys, queue messages, files, URLs;
- other services or languages that read the same data;
- feature flags, environment and config;
- lifecycle and timing: async ordering, teardown, retries, render semantics;
- the library at its lockfile version and any local patch: read its source in
node_modulesor the equivalent; - generated code, locale, timezone, platform.
- Prove the premise. Write a throwaway script at the Repo facts location, outside the repo.
It imports the real module or the same library version and fails loudly if the premise is
false. Run it, paste the command and output, then delete it. If that is costly, label the
premise
assumedand say what would prove it. - Weigh each risk. Give how it breaks,
file:line, likelihood, cost, and the check that would catch it. List what was checked and found fine separately, one line of reason each. Cite only code seen in this run, report an empty search as such, never invent a caller or an API. - Second opinions, only on request and for a wide change. Run 2-3 read-only
general-purposesubagents withmodel: "sonnet"andeffort: "medium"on one question, merge and note where they disagree. Agents without subagents (Codex, Antigravity) skip this.
Output
Change
What it does, including the implicit part.
Premise
The fact or facts, each one's label, and the pasted proof.
Risks
Real ones only, with the step 5 fields.
Cleared
What was checked, and why it is fine.
Before merging
The smallest test or repro that fails on the real risk, with the proof script kept to become it.
Strip secrets and private data before posting anything outside the conversation.
If local.md exists next to this file, read it; where it disagrees with this file, it wins.
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
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- 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.

