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 Plazmodium/odin-workflow --skill documentation-and-adrsgit clone --depth 1 https://github.com/Plazmodium/odin-workflowWrote 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/plazmodium/odin-workflow/documentation-and-adrs)<a href="https://agentmods.dev/skills/plazmodium/odin-workflow/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/plazmodium/odin-workflow/documentation-and-adrs.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00298 |
| Opus 5 | $0.00010 | $0.00149 |
| Sonnet 5 | $0.00004 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
documentation-and-adrs 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.
What it actually says
documentation-and-adrs
When To Use
- Making architectural, API, dependency, storage, security, or operational decisions.
- Changing behavior future maintainers must understand.
- A decision has meaningful tradeoffs.
Workflow
- Decide whether the audience needs inline comments, API docs, README updates, or an ADR.
- Document the context and decision, not just mechanics.
- Record alternatives considered and why they were rejected.
- Capture consequences, risks, and follow-up work.
- Keep docs close to the code or established docs location.
- Update docs in the same change when behavior changes.
Anti-Rationalization
| Excuse | Rebuttal |
|---|---|
| "The code is self-documenting." | Code shows what; docs often need to explain why. |
| "We'll document after launch." | Post-launch docs are frequently incomplete or forgotten. |
| "An ADR is too heavy." | A short decision record is cheaper than rediscovering context. |
Verification
- Docs match current behavior.
- Decision records include context, decision, alternatives, and consequences.
- No stale or contradictory docs remain in touched areas.
Exit Criteria
- Future maintainers can understand the reason and safe use of the change.
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 · 42 lines · 21 tokens per session scan A 1848ad20213f
documentation-and-adrs is a skill published in the GitHub repository Plazmodium/odin-workflow (0 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 298 once invoked, about $0.0001 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 2026-09-01.
Other skills, from other repositories
b123d-modeling
Use this skill when asked to model, build, or modify a 3D part or assembly with build123d — from a text description, a technical drawing (image or PDF), dimensions in a spec, or an existing STEP/STL file.
b123d-edit
Use this skill when the task is to change an existing build123d model or script: "make this bracket 5 mm taller", "move the holes inward", "add a counterbore", "remove this rib", "make it fit this mating part", or "repair the code so the intended edit remains parametric".
new-gh-issue-orchestration
Orchestrates a GitHub-issue-driven delivery workflow from issue intake to PR creation using reviewer-first then worker execution. Invoked when the user provides a GitHub issue link/number and asks to start end-to-end delivery.
hmem-release
Pre-publish checklist for hmem: skills synced, version bumped, tests green, nothing forgotten. Use before npm publish or when the user says 'release', 'publish', 'push a release', or 'neue Version'.
mlflow-traces
Use when working with MLflow traces: debugging via MCP tools, analyzing performance, logging feedback, writing custom scorers/evaluations, or cleaning up trace data.
video-explainer
Teaches Claude how to use the 15 video explainer tools to create explainer videos from research content. Activates when working with video synthesis, explainer creation, or the video-explainer MCP server.