Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add marchatton/agent-skills --skill agent-native-auditgit clone --depth 1 https://github.com/marchatton/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/marchatton/agent-skills/agent-native-audit)<a href="https://agentmods.dev/skills/marchatton/agent-skills/agent-native-audit"><img src="https://agentmods.dev/badge/skills/marchatton/agent-skills/agent-native-audit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/marchatton/agent-skills/agent-native-audit"><img src="https://agentmods.dev/badge/skills/marchatton/agent-skills/agent-native-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.02094 |
| Opus 5 | $0.00015 | $0.01047 |
| Sonnet 5 | $0.00006 | $0.00419 |
| Haiku 4.5 | $0.00003 | $0.00209 |
Grade A, and why
agent-native-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent-Native Architecture Audit
Conduct a comprehensive review of the codebase against agent-native architecture principles, running multi-agent slices (parallel or serial) and producing a scored report.
When to Use
- System-wide health checks
- Periodic audits
- Major refactors or architecture resets
Output Location
- Write results under
docs/05-reviews-audits/asagent-native-audit_YYYY_MM_DD.md.
Core Principles to Audit
- Action Parity - "Whatever the user can do, the agent can do"
- Tools as Primitives - "Tools provide capability, not behavior"
- Context Injection - "System prompt includes dynamic context about app state"
- Shared Workspace - "Agent and user work in the same data space"
- CRUD Completeness - "Every entity has full CRUD (Create, Read, Update, Delete)"
- UI Integration - "Agent actions immediately reflected in UI"
- Capability Discovery - "Users can discover what the agent can do"
- Prompt-Native Features - "Features are prompts defining outcomes, not code"
Workflow
Step 1: Load Skills
- Invoke the agent-native-architecture skill to understand all principles:
Select option 7 (action parity) to load the full reference material./compound-engineering:agent-native-architecture - Run skill
multi-agent-routingto decide sub-agents vs parallel/serial sessions.
Step 2: Run Agent Slices
Run 8 agent slices, one per principle.
- If sub-agents are supported, launch them with the Task tool using
subagent_type: Explore(parallel or serial per routing). - Otherwise open parallel sessions or run serially (one block per slice).
Each agent should:
- Enumerate ALL instances in the codebase (user actions, tools, contexts, data stores, etc.)
- Check compliance against the principle
- Provide a SPECIFIC SCORE like "X out of Y (percentage%)"
- List specific gaps and recommendations
Agent 1: Action Parity
Audit for ACTION PARITY - "Whatever the user can do, the agent can do."
Tasks:
1. Enumerate ALL user actions in frontend (API calls, button clicks, form submissions)
- Search for API service files, fetch calls, form handlers
- Check routes and components for user interactions
2. Check which have corresponding agent tools
- Search for agent tool definitions
- Map user actions to agent capabilities
3. Score: "Agent can do X out of Y user actions"
Format:
## Action Parity Audit
### User Actions Found
| Action | Location | Agent Tool | Status |
### Score: X/Y (percentage%)
### Missing Agent Tools
### Recommendations
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 290 lines · 30 tokens per session scan A b2af614e767d
agent-native-audit is a skill published in the GitHub repository marchatton/agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 2,094 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
full-repo-review
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…