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 drift-detectgit 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/drift-detect)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/drift-detect"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/drift-detect.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.03119 |
| Opus 5 | $0.00028 | $0.01559 |
| Sonnet 5 | $0.00011 | $0.00624 |
| Haiku 4.5 | $0.00006 | $0.00312 |
Grade A, and why
drift-detect 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 8d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drift Detect - reality check and reconstruction planning
Add a temporary evidence layer over the repo, compare stated intent with actual implementation, then synthesize the next repair plan. This is read-only unless the caller explicitly asks to apply follow-up fixes.
The invariant: every drift claim cites a concrete source - issue number, PR, milestone, doc line, file path, symbol, test/CI signal, or git-history signal. Without an evidence line, there is no finding.
When to Apply / NOT
Apply when the user asks whether a roadmap, PLAN, README, milestone, issue backlog, or project memory still matches the code. Also apply before restarting an abandoned project, cutting a release from stale plans, or deciding what to rebuild after scope changed.
Do NOT apply to one local test failure, a known bug with a single repro, a branch-quality audit, or greenfield planning with no existing docs/issues/code to compare. Do not mutate docs, close issues, or edit code during this pass.
Inputs and Flags
Default invocation shape:
drift-detect --sources=github,docs,code --depth=thorough
--sources=github,docs,code- comma list; omit a source only when unavailable or irrelevant.--depth=quick|thorough-quicksamples active surfaces;thoroughfollows related docs, symbols, and history.- Optional output artifact:
.outline/drift-detect/reality-check-YYYYMMDD-HHMM.mdwhen the report is too long for chat.
Workflow
-
Scope the scan.
- Restate the user's target: whole repo, named plan file, named milestone, release branch, or feature area.
- Resolve sources from flags. If no flags are given, use all three.
- Create a scratch evidence bundle in memory or
.outline/drift-detect/evidence.jsononly when needed for long synthesis. Keep it minimal:{github, docs, code, signals, generatedAt}.
-
Collect GitHub reality (
--sources=github). UseghJSON output; never scrape web HTML.gh issue list --state open --limit 200 --json number,title,labels,state,assignees,createdAt,updatedAt,milestone,url gh pr list --state open --limit 100 --json number,title,state,isDraft,labels,createdAt,updatedAt,mergeStateStatus,reviewDecision,changedFiles,additions,deletions,files,url gh api repos/{owner}/{repo}/milestones --paginate --jq '[.[] | {number,title,state,open_issues,closed_issues,due_on,updated_at,description}]'
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.
- 8d ago First seen · 204 lines · 56 tokens per session scan A f86e59a84adc
drift-detect is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 3,119 once invoked, about $0.0003 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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