challenge
Skill2 starsChanged 8 months agoMITView on GitHub
Run the challenger agent against your current changes to simulate the lead reviewer's feedback before submitting. Requires a forge analysis with reviewer patterns.
33 other projects use a version of this.
Adopted by
Most recently taken up by
- SylphxAI/skillstheir own version, first seen Nov 8, 2026
- seankoji-com/.agentstheir own version, first seen Nov 8, 2026
- pedrohcgs/claude-code-my-workflowtheir own version, first seen Nov 7, 2026
- pche-broken-artist/forge-of-thoughttheir own version, first seen Nov 6, 2026
- bas1l/claude-skillstheir own version, first seen Nov 3, 2026
- grainulation/grainulatortheir own version, first seen Nov 3, 2026
Used with
Projects with it also use prove-it, ingest and 10 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.
Neko-Catpital-LabsSkillprove-it
Shared evidence rule for investigating, diagnosing, debugging, proving, or explaining what happened or why for any problem or situation: do not assert something is fixed, working, passing, merged, or running unless you personally observed it this turn and can show what you saw; do not assert it was caused by X until a repro and controlled isolation prove that cause.
Also in 3 projects that use this
JaimeGBASkillingest
Digest an external source (article, paper, transcript, URL, book chapter) and integrate its content into the knowledge base
Also in 4 projects that use this
MetaSkillroadmap
Build, continue, inspect, or visualize a source-grounded mathematical roadmap and theorem DAG in an existing Autoform Markdown blueprint. Use for source research, repository-wide inventories of existing and planned mathematics, scope, coverage, milestones, and roadmap articles; do not create repository infrastructure or prove Lean declarations.
Also in 3 projects that use this
GoogleSkillcritique
Expertise in auditing and fixing repository scripts and GitHub Actions workflows to ensure technical robustness and security.
Also in 3 projects that use this
genomewalkerSkilllearn
Learn from web sources, generate SKILL.md, and store key patterns in soul memory. Trigger keywords: learn, skill-gen, web-learn, documentation, tutorial.
Also in 4 projects that use this
AnthropicSkillstart
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.
Also in 3 projects that use this
Other versions33 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 33
- pedrohcgs/claude-code-my-workflow★ 1.7ksame name
- me2resh/apexyard★ 542same name
- nudgebee/nudgebee★ 520same name
- The01Geek/prflow★ 99same name
- grainulation/grainulator★ 86same name
- BULDEE/ai-craftsman-superpowers★ 35same name
- TakaGoto/rag-learning-academy★ 24same name
- Hassaan146/claude-skills★ 18same name
- lenar-amirov/product-pipeline-public★ 13same name
- pche-broken-artist/forge-of-thought★ 12same name
23 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 repository2 other files it gives its agents.
- analyzeSkill
- create-teamSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 29 edited versions we read keep these.
2
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 11
Read .context/forge-analysis.md for reviewer patterns
- Very specific: line 12
If it doesn't exist, tell the user to run /claude-army:analyze first
- Distinctive: line 16
Run git status and git diff --name-only to find all changes
- Distinctive: line 17
Read every changed/new file
“Common” is measured: kept by at least 6 in 10 of the 29 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
Simulate the lead reviewer's feedback on the current changes. Uses reviewer patterns from the forge analysis.
Before Starting
- Read
.context/forge-analysis.mdfor reviewer patterns - If it doesn't exist, tell the user to run
/claude-army:analyzefirst
Process
- Run
git statusandgit diff --name-onlyto find all changes - Read every changed/new file
- Apply reviewer checks in tier order (Tier 1 first, most likely to be raised)
- For factual claims (thresholds, tax classification, etc.): WebSearch to verify
- For source URLs: WebFetch to confirm accessibility
Output
Present findings as the lead reviewer would — questions, not demands:
## Review Simulation: [Reviewer Name]
### Questions (likely to ask)
**file:line** — [question in their voice]
Fix with: [which agent or direct edit]
### Issues (would flag)
**file:line** — [what's wrong]
Fix with: [which agent]
### What Looks Good
[acknowledge well-done parts]
### Fix Plan
| # | Issue | Fix Agent | Instruction |
|---|-------|-----------|-------------|
| 1 | ... | ... | ... |
Execution order: [dependencies]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.

