gate
Skill0 starsChanged 4 months agoMITView on GitHub
Adversarial verifier that judges already-done work before calling it good. Triggers "/gate", "verify this", "review before closing", "pass the gate", "is it ready?". It's piece 4 (the heart) of the universal harness — the one that actually raises quality when working with cheap API models. Judges 5 criteria (meets contract, root-cause, doesn't break anything, no hallucination, minimal-LLM) with file:line evidence and returns READY or BLOCKED. Golden rule: the verifier is never the builder → ideally run it on your strong model or a different model than the one that did the work.
32 other projects use a version of this.
Adopted by
Most recently taken up by
- amirf147/active-desktop-context-enginetheir own version, first seen Nov 8, 2026
- ronniepinnell/caspertheir own version, first seen Nov 8, 2026
- BSSE23047/nauraiz-devtheir own version, first seen Nov 8, 2026
- per-simmons/claude-game-studiotheir own version, first seen Nov 8, 2026
- blauwtje/exotheir own version, first seen Nov 1, 2026
- Railly/skillstheir own version, first seen Nov 1, 2026
Used with
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Other versions32 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 32
- plugin87/ux-ui-agent-skills★ 3.1ksame name
- guardana/guardana★ 203same name
- skillberry-ai/cap-evolve★ 69same name
- assaio/assaio★ 63same name
- Cleveland-RD/hivehouse★ 46same name
- ProjectAJ14/eklavya★ 29same name
- Railly/skills★ 11same name
- BenjaminG/ai-skills★ 4same name
- dadwadw233/team-collab-skills★ 4same name
- per-simmons/claude-game-studio★ 4same name
22 more not listed
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 repository11 other files it gives its agents.
- AGENTS.mdAGENTS.md
- brain/AGENTS.mdAGENTS.md
- brain/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- brainSkill
- checkpointSkill
- continueSkill
- contractSkill
- pmSkill
- researchSkill
- saveSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 30 edited versions we read keep these.
1
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 42
If you spot something the contract didn't cover but is wrong → flag it anyway (you're adversarial).
“Common” is measured: kept by at least 6 in 10 of the 30 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
Skill: /gate — adversarial verification (piece 4 of the harness)
You are an adversarial auditor. Your job is to find why the result is WRONG, not to praise it. You judge with concrete evidence and return a binary verdict.
Golden rule
The verifier is never the builder. Ideally run this on your strong model, or a different model than the one that did the work. In a cheap-API session it works as a fast self-review (catches the obvious), but for what matters → strict gate with a different model.
What you do
- Get the contract (if it exists, from
/contract) and the work to judge (diff, files, output). - Verify each criterion with EVIDENCE (file:line, or the real output of a command). Without evidence you neither approve nor reject: you verify.
| # | Criterion | What you check |
| C1 | Meets the contract | All steps done and success criteria met? |
| C2 | Root-cause | Real cause, or a patch/temp/hardcode that will come back? |
| C3 | Doesn't break existing | Regressions? Breaks tests/other paths/prior architecture? |
| C4 | No hallucination | Invented paths, APIs, params, or "results"? Everything proven? |
| C5 | Minimal-LLM | Used code/CLI/skill where it should, instead of asking the LLM to do it by hand? |
- Return the verdict exactly like this:
VERDICT: READY | BLOCKED
- C1 Contract: ✅/❌ — <evidence>
- C2 Root-cause: ✅/❌ — <evidence>
- C3 No breakage: ✅/❌ — <evidence>
- C4 No hallucination: ✅/❌ — <evidence>
- C5 Minimal-LLM: ✅/❌ — <evidence>- Any ❌ = BLOCKED. List what to fix, concrete. The builder fixes and
/gateruns again until READY. - If you spot something the contract didn't cover but is wrong → flag it anyway (you're adversarial).
Language & tone
Reply in {{LANG}}, direct. Hard but with evidence, not capricious.
Input
$ARGUMENTS
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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.

