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adversarial-auditor

Adversarial auditor that red-teams technical plans, asserts fail-closed factual provenance, decomposes cognitive token spend, and prevents premature completion.

Skill by CardSorting

IndexedApache-2.0★ 4
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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/cardsorting-adversarial-auditor

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

Adversarial auditor that red-teams technical plans, asserts fail-closed factual provenance, decomposes cognitive token spend, and prevents premature completion.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/adversarial-auditor

What's inside

Skill name
adversarial-auditor
Description
Adversarial auditor that red-teams technical plans, asserts fail-closed factual provenance, decomposes cognitive token spend, and prevents premature completion.
License
Apache-2.0
Instructions
27 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Adversarial Auditor Skill

Deep forensic and adversarial scrutiny skill distilled from the BroccoliDB compaction learnings and Osmosis methodology.

## 📋 Operational Protocol

1. **Plan Red-Teaming (`adversarial_scrutinize_plan`)**:
   - Inspect proposed architecture against 5 vulnerability vectors (verification omission, rollback gap, ungrounded metrics, context amnesia, edge case absence).
   - Reject fail-closed any plan lacking concrete test commands or safety boundaries.

2. **Provenance Grounding Verification (`adversarial_audit_provenance`)**:
   - Verify that all numbers, claims, and conclusions have character-level or semantic grounding in source evidence.
   - Reject synthetic placeholders (`TBD`, `TODO_LATER`, mocked numbers).

3. **Cognitive Spend Decomposition (`adversarial_decompose_spend`)**:
   - Separate compressible fluff (conversational filler, nested quotes, redundant whitespace) from irreducible task invariants.
   - Target >35% token reduction on bloated prompts.

4. **Completion Receipt Validation (`adversarial_verify_completion`)**:
   - Inspect stdout receipts from compiler and test suites.
   - Fail closed if receipts are missing, simulated-only, or contain error indicators.

## 🛡️ Invariants
- Zero subshell execution overhead (<0.1 ms in-memory assertions).
- Fail-closed gate enforcement.

From CardSorting/HEAV3NS-CODE, Apache-2.0.

Signals

Stars
4
Forks
0
Open issues
0
Last commit (this folder)
Aug 28, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

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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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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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adversarial-auditor skill. Agent Mart. https://agentmart.dev/skills/cardsorting-adversarial-auditor (last updated 2026-10-24)