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 OutlineDriven/odin-claude-plugin --skill ax-auditgit clone --depth 1 https://github.com/OutlineDriven/odin-claude-pluginWrote 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/outlinedriven/odin-claude-plugin/ax-audit)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/ax-audit"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/ax-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/outlinedriven/odin-claude-plugin/ax-audit"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/ax-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 | $0.00073 | $0.00976 |
| Opus 5 | $0.00036 | $0.00488 |
| Sonnet 5 | $0.00015 | $0.00195 |
| Haiku 4.5 | $0.00007 | $0.00098 |
Grade A, and why
ax-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 5d 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.
This is a copy
100% identical to ax-audit — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AX audit
Contract
| Field | Bound contract |
|---|---|
| Trigger | Human asks for an agentic experience audit, an AX review, whether something is agent-native, a critique of an AI feature, or whether it earns user trust |
| Authority | Read-only. No file, VCS, credential, paid, published, deployed, or remote mutation |
| Side effect | Chat output only: a read-only severity-tiered report with a ship-readiness verdict and an AX Relationship Summary |
| Done | Delivered findings with locators (file:line for source, logical bounds for described behavior), an AX Relationship Summary, and a PASS/FAIL/INCOMPLETE verdict |
Inputs
- Target agent system or AI feature under audit: source path, repository, or described behavior. Required.
- Scope boundary: which files, modules, or interaction surfaces are in scope. Required.
- Specific concern or focus area the human wants prioritized. Optional.
Procedure
-
Read the target source or described behavior within the stated scope. Do not mutate anything. Done when: the target is read within the scope boundary.
-
Evaluate the target against two audit axes, each with four rule families. Record every finding with a locator:
file:linefor source-backed targets, or logical bounds (described behavior, interaction surface, or module name) for behavior-only targets.Architecture axis (rules-arch):
- Communication: approval gate present where the agent should act autonomously; completion signal missing or ambiguous; progress not visible to the user during long work.
- Context: no checkpoint or resume across sessions; context injection absent or brittle; context starvation where the agent lacks information it needs to act.
- Granularity: static API mapping where tools mirror raw endpoints instead of workflow-shaped actions; tools too coarse or too fine for the task shape.
- Parity: CRUD coverage incomplete; tool or UI parity gaps where an action exists in one surface but not the other; orphaned UI actions with no backing tool.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 58 lines · 73 tokens per session scan A a7216b30947f
ax-audit is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed 2d ago), licensed Apache-2.0. It adds 73 tokens to every session and 976 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ax-audit, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…