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 enhancegit 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/enhance)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/enhance"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/enhance/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/enhance"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/enhance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 84 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00032 | $0.01857 |
| Opus 5 | $0.00016 | $0.00928 |
| Sonnet 5 | $0.00006 | $0.00371 |
| Haiku 4.5 | $0.00003 | $0.00186 |
Grade A, and why
enhance 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 9d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enhance: certainty-graded surface correction
Run a correct op over AI-facing project surfaces. The invariant: plugin manifests, agents, skills, prompts, docs, command definitions, hooks, and project memory must be explicit, bounded, and internally consistent.
Native shape: no external analyzer binary, no persistent suppression learning, no model routing. Use ODIN discovery tools plus parallel generic task agents. Each analyzer emits structured findings with certainty, autoFix, file, line, check, evidence, fix. The orchestrator aggregates, deduplicates, and reports.
When to Apply / NOT
Apply when the user asks to enhance, improve, audit, or tighten plugin config, agent definitions, skills, CLAUDE.md/AGENTS.md, docs, prompts, commands, or hooks.
NOT when the user asks for general code assessment, runtime bug fixing, visual design, performance profiling, or content rewriting without configuration/agent-surface analysis.
Flags
--apply: apply only HIGH-certainty findings withautoFix: yes. No flag → report only.--verbose: include MEDIUM and LOW findings. Default report shows HIGH plus summary counts for MEDIUM/LOW.--focus=<type>: optional narrowing to one or more comma-separated analyzer families:plugin,agent,skill,docs,prompt,claudemd,hooks,cross-file.
Deleted on purpose: auto-suppression learning, reset/export suppression flags, editor-platform adapters, model pins, binary cache state.
Discovery
Resolve the target path from the first non-flag argument; default .. Use find for names and read for the exact files each analyzer needs.
| Analyzer | Discovery globs |
|---|---|
| plugin | plugins/*/.claude-plugin/plugin.json, .claude-plugin/plugin.json, **/.claude-plugin/plugin.json |
| agent | **/agents/*.md |
| skill | **/SKILL.md |
| claudemd | CLAUDE.md, AGENTS.md, **/CLAUDE.md, **/AGENTS.md |
| docs | docs/**, README.md, CHANGELOG.md |
| prompt | commands/**, prompts/**, **/commands/*.md, **/prompts/*.md |
| hooks | hooks/**, **/hooks/** |
| cross-file | enabled when two or more of plugin/agent/skill/claudemd/prompt are present |
What ships with it
2 files 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.
- 9d ago First seen · 146 lines · 32 tokens per session scan A 2fc653f14be2
enhance is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 1,857 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 2026-08-30.
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