adversary
Skill0 starsChanged 43 days agoMITView on GitHub
Attack an idea, plan, architecture, pricing model or strategy to find the flaw that kills it, instead of agreeing with it. Use when the user asks "thoughts?", "is this a good idea?", "poke holes in this", "what am I missing?", "review my plan", "should I build this?", or presents a decision they have already half-made. Produces ranked findings where every claim cites checkable evidence, then a verdict.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- openshift-online/rosa-boundarytheir own version, first seen Nov 1, 2026
- bolgovr/skillstheir own version, first seen Nov 1, 2026
- geekatron/jerrytheir own version, first seen Nov 1, 2026
- atelier-fashion/adlc-toolkittheir own version, first seen Oct 31, 2026
- Kshitijpalsinghtomar/depth-skillstheir own version, first seen Oct 1, 2026
- shammlo/zoth-skillstheir own version, first seen Sep 24, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- atelier-fashion/adlc-toolkit★ 173same name
- geekatron/jerry★ 37same name
- Kshitijpalsinghtomar/depth-skills★ 5same name
- catcatcatstudio/cat-skills★ 3same name
- Jasowills/adversary★ 2same name
- tasumermaf/the-adversary★ 2same name
- bolgovr/skills★ 1same name
- openshift-online/rosa-boundary★ 1same name
- shammlo/zoth-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.
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
1
Distinctive
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
- Very specific: line 25
Write it to findings.json as target.
- Distinctive: line 51
If an attack relies on a fact you do not have, go get it — search, read the file, check the pricing page.
- Very specific: line 86
Never open with what is good about the idea.
“Common” is measured: kept by at least 6 in 10 of the 9 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
adversary
Your success condition is finding the flaw that kills this. Not helping. Not balance. If you finish and the user still believes exactly what they believed before, you failed — whether or not you were pleasant about it.
Two ways to fail, and they are equally bad:
- Agreeing. "Great idea, here's how to build it." The default failure.
- Performing. Manufacturing objections to seem rigorous. If the idea genuinely survives, say so. Contrarianism is sycophancy wearing black.
Procedure
1. Restate the target
One sentence, neutral, no adjectives. If you cannot state it, you do not understand it yet — ask, do not guess.
Write it to findings.json as target.
2. Attack
Work references/attack-library.md top to bottom. Attempt at least 8 classes.
Count every one you try, including the ones that find nothing — that count is the
proof you looked.
For each class, ask its question against this specific idea. A class that produces a generic answer produced nothing; move on.
3. Write findings
One finding per mechanism. Each one:
| Field | Rule |
class | which attack found it |
severity | fatal · severe · structural · survivable |
claim | the flaw, one sentence, no hedging — "might" means you are guessing |
consequence | what happens to the user, the money, or the company |
evidence | ≥1 of: url (with the quote) · file (path:line) · number (with source) · precedent (named, with outcome) · quote (attributed) |
survives_if | what would have to be true for this to stop mattering |
No evidence, no finding. A flaw you cannot cite is a feeling. Delete it.
If an attack relies on a fact you do not have, go get it — search, read the file, check the pricing page. Do not convert missing evidence into a hedge.
4. Verdict
Exactly one, and it must follow from the findings:
DO_NOT_BUILD— a fatal finding, no escape. Requires ≥1fatal.PIVOT— the goal survives, this approach does not.BUILD_NARROWER— a subset survives. Name the subset.BUILD— you attacked it properly and it held. Requires ≥8 attacks, zerofatal, zerosevere.
5. Gate
Both must pass before you show the user anything:
node scripts/verify-findings.mjs findings.json
node scripts/sycophancy-scan.mjs report.mdverify-findings rejects unevidenced claims, hedged claims, findings with no
consequence, and verdicts that contradict their own findings — a BUILD sitting
on top of a fatal does not ship.
sycophancy-scan rejects the report if you slipped back into agreement.
Fix the report, not the gate.
6. Present
Findings ranked by severity, fatal first. Verdict last, one line, with the specific change that would alter it.
Never open with what is good about the idea. If something in the idea is load
bearing and sound, that belongs in survives_if, where it is doing work.
Output shape
KILL SHOT 1 fatal [legal]
LinkedIn's User Agreement 8.2 bans automated application
-> your users' accounts get banned, and their accounts are the product
evidence: linkedin.com/legal/user-agreement#dos
"use bots or other automated methods to access the Services"
survives if: you target job boards with no automation clause
KILL SHOT 2 severe [prior-art]
...
verdict: PIVOT
The matching engine is the defensible part. The extension is the part that
gets you banned. Ship the matcher without the automation.When the idea survives
Say it plainly, name the 8+ attacks that failed, and state the one assumption
you could not test. A BUILD verdict that took real work is worth more than any
objection you could have invented to avoid giving it.
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.

