adversarial-review
Skill3 starsChanged 25 days agoApache-2.0View on GitHub
Challenge an existing recommendation with optimistic and critical cases, logic guardrails, evidence audit and an independent jury verdict.
104 other projects use a version of this.
Adopted by
Most recently taken up by
- revisit-studies/studytheir own version, first seen Nov 9, 2026
- ozt88/skillstheir own version, first seen Nov 8, 2026
- selamy-labs/agent-skillstheir own version, first seen Nov 8, 2026
- kellen-miller/skillstheir own version, first seen Nov 8, 2026
- leinardi/adversarial-review-looptheir own version, first seen Nov 8, 2026
- artberri/skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use rethink, better-auth-best-practices and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
fabioespindulaSkillrethink
Reframe a plan, idea, or decision before the user commits to it. Use when the user asks to rethink, step back, pressure-test, gut-check, decide, right-size, simplify, think bigger about, or evaluate a concrete plan or decision in product, strategy, technical architecture, career, life, company direction, or personal priorities. This skill improves decision quality before action: clarify the real question, challenge assumptions, compare alternatives, calibrate ambition, classify the operating mode, surface risks, and recommend a next move. Do not use for broad future exploration without a concrete decision; that belongs to a think-big or research-style skill.
Also in 3 projects that use this
anasahmed07Skillbetter-auth-best-practices
Skill for integrating Better Auth - the comprehensive TypeScript authentication framework.
Also in 4 projects that use this
DockerSkillfix-issue
Fix a single GitHub issue end-to-end: triage, research, write the fix, review, and create a PR. Use when asked to fix an issue: "fix issue 1234", "resolve #500", "create a PR for issue 200".
Also in 3 projects that use this
MicrosoftSkillpull-request
Write concise, focused pull request descriptions for Wassette — at most three sentences on the what and why, with an explicit note on any breaking public-API change and how users adapt. Use when opening or editing a Wassette pull request.
Also in 3 projects that use this
MicrosoftSkillerror-handling
统一错误处理系统。在添加 API 端点、修改错误处理、添加前端 API 调用、编写错误相关测试时使用。
Also in 3 projects that use this
juriwiensSkillcodex-review
Run code review via Codex CLI
Also in 3 projects that use this
- +1 more from microsoft
Other versions104 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 104
- PrefectHQ/fastmcp★ 28ksame name
- jlowin/fastmcp★ 28ksame name
- mengxi-ream/read-frog★ 10ksame name
- epicenter-md/epicenter★ 4.8ksame name
- EpicenterHQ/epicenter★ 4.8ksame name
- basicmachines-co/basic-memory★ 4.5ksame name
- DanMcInerney/architect-loop★ 626same name
- deadlock-mod-manager/deadlock-mod-manager★ 584same name
- boraoztunc/skills★ 454same name
- syahiidkamil/Software-Engineer-AI-Agent-Atlas★ 404same name
94 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.
- artifact-qualitySkill
- case-intelligenceSkill
- cognition-orchestratorSkill
- cognitive-masterySkill
- executive-synthesisSkill
- framework-composerSkill
- quantitative-decisionSkill
- root-cause-analysisSkill
- setupSkill
- strategic-decisionSkill
- systems-analysisSkill
The file
Files
Adversarial Review
Required: proposal, supporting artifacts and evidence. Optional: risk limits, counterarguments and desired depth.
Read ../../references/REVIEW.md. Use FW-24 for an ERRC-based optimistic value case when strategically relevant, FW-49 for failure scenarios and FW-50/FW-48 for bias and argument checks. Otherwise use clearly labeled optimistic and critical perspectives without misrepresenting them as completed ERRC analysis. AG-52 evaluates both sides and may ACCEPT, CONDITIONAL, REJECT or INSUFFICIENT_EVIDENCE. Agreement is not mandatory. Bound rebuttals using the mode policy; never repeat debate without new decision value.
Inspect contradictory evidence, invalid calculations, circular warrants, missing critical facts, MECE overlap and all nine requested bias families. Quote the observable spans and offer alternative interpretations. Use audit, mece, provenance and jury helpers where useful; their structural verdicts do not replace analytical judgment. Preserve unresolved objections in the final recommendation.
Output: optimistic case, critical case, rebuttal evidence, gap list, jury verdict, conditions and next checks.
Nonactivation: do not apply this skill to unrelated tasks merely because a framework term appears incidentally.
You provide internal analytical assistance to the host model/agent. The host owns the task, tools, permissions and original deliverable. Use only what resolves a material analytical gap; simple tasks and sufficient prior analysis pass through. Do not ask the human to select a mode or operate Cognition OS. Do not replace requested code, documents or answers with a plugin report.
Load shared execution rules only when needed, then the selected canonical ../../cognitive-core/frameworks/definitions/FW-XX.json. Resolve paths from this installed skill. Preserve the distinctive methodology. Never load all definitions or launch specialists automatically. Report inaccessible resources; do not invent their contents.
Return concise findings, evidence, issues, actual computations, limitations and unresolved checks to the host. The analytical output fields below describe internal artifacts only when needed; they do not mandate a separate user-facing report. Full structured handoffs use ../../schemas/cognitive-request.schema.json and ../../schemas/advisory-result.schema.json. Individual framework artifacts retain the compatible 3.1 envelope. Missing evidence remains UNKNOWN; no invented confidence or hidden chain-of-thought.
Use only available, authorized native tools. Optional ../../scripts/cognition.py supports assess, deep-plan, review-advisory and local calculation actions. Run Python helpers by installed absolute path; no API key or MCP server is needed. Write scratch inputs only in authorized scope. Without a permitted calculator, disclose unverified arithmetic. Optional hooks are advisory and do not prove semantic correctness or grant permissions.
Budget framework calls, tools, iterations and context against the host's actual remaining allowance; defaults are engineering estimates. Use token-plan when context cost is material: load discovery metadata first, then one matching skill, then only selected framework definitions and evidence. Never force a profile below its quality floor. Escalate on evidence conflict, a missing decision-critical input, failed validation, a critical objection, or an unsupported deliverable. Stop when sufficient, blocked on evidence/tools, out of allowance, or further analysis adds no value. Preserve partial findings and critical gaps; never turn an incomplete check into endorsement. Delegate only with existing authorization and useful independent work; record actual dispatch IDs. No default persistence, background monitoring or trusted-instruction rewrites.
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.

