falsify
Skill2 starsChanged 7 days agoMITView on GitHub
Argues against review findings before anyone fixes them. For each must-fix finding it tries to reproduce it, asks who actually hits it and how bad that is, and picks the cheapest answer, which can be cutting the feature or leaving the finding open. It rejects findings whose only fix is a defensive check nothing shows is needed, and sends fixes that need a new rule or special case to the user. Read-only. Use between a review and its fixes, as the autopilot's falsify step, or for "falsify these findings", "do we really need to fix these", or "which of these review comments matter".
8 other projects use a version of this.
Adopted by
Most recently taken up by
- acprk/crypto-research-agentstheir own version, first seen Nov 4, 2026
- angeliefu396-oss/falsifytheir own version, first seen Nov 1, 2026
- SWHee/skillstheir own version, first seen Oct 13, 2026
- 263311487-ux/falsifytheir own version, first seen Oct 8, 2026
- calm-trader/skillstheir own version, first seen Sep 25, 2026
- Spoon94/skill-vaulttheir own version, first seen Aug 5, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- angeliefu396-oss/falsify★ 24same name
- acprk/crypto-research-agents★ 15same name
- Spoon94/skill-vault★ 5same name
- calm-trader/skills★ 2same name
- 263311487-ux/falsify★ 0same name
- ccst-llc/skills★ 0same name
- dandye/falsify-skill★ 0same name
- SWHee/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 repository18 other files it gives its agents.
- approve-planSkill
- check-impactSkill
- context-packSkill
- design-forgeSkill
- deslopSkill
- diagnose-bugSkill
- forgeSkill
- gap-analysisSkill
- interrogateSkill
- make-fixtureSkill
- micro-loopSkill
- phased-loopSkill
- pick-tierSkill
- ship-planSkill
- simple-loopSkill
- taste-testSkill
- unslopSkill
- wait-whatSkill
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 7 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 27
cut: remove the feature that causes it.
- Distinctive: line 28
narrow: keep the feature, but shrink where it applies.
- Distinctive: line 60
For the PR's open findings: leave open, each as its one line.
“Common” is measured: kept by at least 6 in 10 of the 7 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
Falsify
Reviewers are asked to find problems, so they always find some. You argue the other side: each finding must earn its fix. A fix costs code, and more code costs reading time, review rounds and new bugs. You rule on findings and never edit code.
Input
- The findings to rule on: the review's must-fix list, with who raised each one.
- The intent: the plan folder or the PR description.
- The branch's diff against its base.
For each finding
- Reproduce it. Run something that shows it happening: a test, a script, a live command. A finding nobody can show happening is unproven, however good the argument, and an unproven finding is never fix, except as Limits says. When a finding comes with a run, check that the run shows what the finding claims.
- Find who hits it. Which caller or user, doing what, and how often. Trace the call site. If the input can't occur (checked upstream, ruled out by the types, or only in a setup nobody uses), it's hypothetical.
- Weigh the harm. What does someone see when it happens? From worst to mildest:
- lost data or a wrong state
- an action taken that nobody asked for
- a wrong message the caller can recover from
- slowness
- looks
- Pick the cheapest answer that removes the harm.
- cut: remove the feature that causes it. Prefer this when the feature guesses, or exists only to save the caller one step.
- narrow: keep the feature, but shrink where it applies.
- fix: change the code. Say what the fix buys, and name the test that proves it: one that fails now and passes with the fix.
- your call: the only fix needs a new rule or special case (a branch for one input, a new setting or flag). That often means the design is wrong, so the user decides whether to cut instead.
- leave open: real, but not worth code now. It goes in the PR as one line.
- dismiss: wrong, or the code already handles it.
Defensive checks
A finding whose fix is a guard, a retry, a fallback, a re-check or a timeout for a state that might happen is rejected unless it has both:
- a reproduction, and
- harm worse than a wrong message the caller can recover from.
Without both, rule it leave open, or dismiss when the state can't happen, with the reason "defensive check; nothing shows it's needed". Guards already in the diff face the same test: raise any that fail it as cut findings of your own.
Limits
- The repo's written rules stand. A broken rule from its agent instructions or its lint stays fix.
- Security findings need a path, not a run. Rule one with a plausible attacker path fix or leave open, never dismiss for lack of a reproduction.
Output
One line per finding, worst harm first:
<verdict>: <the finding, short> (<who raised it>). <why: the run or the trace; say unproven or hypothetical when it is>Then three lists:
- For the fixer: cut, narrow and fix.
- For the user: your call, each with the rule the fix would add.
- For the PR's open findings: leave open, each as its one line.
- Dismissed, each with its reason.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- 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.

