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 land-contributiongit 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/land-contribution)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/land-contribution"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/land-contribution/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/land-contribution"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/land-contribution.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 Excessive Agency · line 52 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00036 | $0.01728 |
| Opus 5 | $0.00018 | $0.00864 |
| Sonnet 5 | $0.00007 | $0.00346 |
| Haiku 4.5 | $0.00004 | $0.00173 |
Grade A, and why
land-contribution 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 3d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Land contribution
Contract
| Field | Bound contract |
|---|---|
| Trigger | A maintainer or collaborator explicitly asks to review and land one external pull request. |
| Authority | Remote: merges or declines one external pull request, pushes maintainer commits, and posts approval and credit comments on GitHub; requires explicit human invocation. Inspect and preview the exact landing branch, reviews, comments, and close or merge consequences before any credential use or remote mutation. |
| Side effect | For an accepted contribution, create or update only land/pr-<n>, preserve the contributor's commits and authorship, add maintainer changes as separate commits, submit approval, land the result, and post a credit-bearing close comment. For a declined contribution, post thesis-tied reasons and retain the contributor branch. |
| Done | Remote state confirms preserved authorship, separately attributed maintainer edits, approval before closure, a credit comment on closure, an explanation of any rename to the author, or a decline whose stated reasons are tied to the contribution's thesis and whose branch remains intact. |
Inputs
Required: repository identity, pull-request number, authenticated maintainer or collaborator access, and the repository's observable acceptance criteria and available checks. The pull request supplies its author, branch, commits, discussion, title, description, and changed files. An intended replacement title is optional; if supplied or discovered to be necessary, its reason must also be available before mutation.
Procedure
- Resolve the repository and pull request, verify that the request concerns an external contribution, and record the pull request number, author, source branch, head revision, commit authorship, thesis stated by its title and description, discussion, diff, and check status. Do not mutate remote state while establishing this baseline. Done when: the baseline is recorded and the contribution is confirmed external.
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.
- 3d ago First seen · 64 lines · 36 tokens per session scan A 879672e5ff46
land-contribution is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed 2d ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,728 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 2026-09-06.
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