ferrox-eval-review
An AI feature was built and you want its evaluation coverage audited, with a fix plan
Skill by FerroxLabs
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ferroxlabs-ferrox-eval-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ferrox-eval-review
What's inside
- Skill name
ferrox-eval-review- Description
- An AI feature was built and you want its evaluation coverage audited, with a fix plan
- License
- MIT
- Instructions
- 21 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (1)
- SKILL.md
SKILL.md (first lines)
<objective> Conduct a retroactive evaluation coverage audit of a completed AI phase. Checks whether the evaluation strategy from AI-SPEC.md was implemented. Produces EVAL-REVIEW.md with score, verdict, gaps, and remediation plan. </objective> <execution_context> @~/.claude/ferrox-core/workflows/eval-review.md @~/.claude/ferrox-core/references/ai-evals.md </execution_context> <context> Phase: $ARGUMENTS — optional, defaults to last completed phase. </context> <process> Execute end-to-end. Preserve all workflow gates. </process>
From FerroxLabs/ferrox-factory, MIT.
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Signals
- Stars
- 23
- Forks
- 8
- Open issues
- 0
- Last commit (this folder)
- Jul 31, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/FerroxLabs/ferrox-factory
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.593score
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An idea, note or todo you do not want to lose right now.
SkillBFreshness: B★ 23Claude Code +9 - 0.593score
ferrox-autonomous
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Build every remaining step by itself, discuss then plan then execute, pausing on decisions
SkillBFreshness: B★ 23Claude Code +9 - 0.593score
ferrox-brainstorm
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You have an idea or a blank page and want to think it through.
SkillBFreshness: B★ 23Claude Code +9 - 0.593score
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You want issues found, classified, fixed, tested and committed without steering each one
SkillBFreshness: B★ 23Claude Code +9 - 0.593score
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Something was built and you want tests covering what it promised to do
SkillBFreshness: B★ 23Claude Code +9 - 0.593score
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You want the code checked for bugs, security issues and quality before it goes anywhere
SkillBFreshness: B★ 23Claude Code +9
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
ferrox-eval-review skill. Agent Mart. https://agentmart.dev/skills/ferroxlabs-ferrox-eval-review (last updated 2026-10-24)