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 agentmods add skills/atlasomnia/donna-starter/github-readme-maintenancenpx skills add AtlasOmnia/donna-starter --skill github-readme-maintenancegit clone --depth 1 https://github.com/AtlasOmnia/donna-starterWrote 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/atlasomnia/donna-starter/github-readme-maintenance)<a href="https://agentmods.dev/skills/atlasomnia/donna-starter/github-readme-maintenance"><img src="https://agentmods.dev/badge/skills/atlasomnia/donna-starter/github-readme-maintenance.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 | $0.00037 | $0.01215 |
| Opus 5 | $0.00018 | $0.00607 |
| Sonnet 5 | $0.00007 | $0.00243 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
github-readme-maintenance 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- github-readme-maintenance — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub README and Documentation Maintenance
Use this skill for edits where the goal is to keep repository-facing Markdown documentation accurate, current, and review-friendly.
Scope
Apply this skill when editing:
README.mdand similar top-level docsAGENTS.md,CLAUDE.md, and other agent-facing repository guidance- Community megathread catalogs or link indexes
- Repository runbooks, contribution guidance, and operational playbook docs
For agent-facing guidance, document stable architecture, ownership boundaries, generated-file rules, safety invariants, and executable verification commands. Do not copy temporary campaign state, process IDs, review generations, or acceptance SHAs into durable repository instructions.
Operating assumptions
- You may be working in a repository that exists in more than one local checkout.
- The expected change is usually a small, localized edit.
- The safest path is to treat target path/branch as explicit inputs.
Canonical workflow
- Pin the target repository path and branch first
TARGET_REPO=/path/to/repo
git -C "$TARGET_REPO" remote -v
git -C "$TARGET_REPO" rev-parse --abbrev-ref HEAD
git -C "$TARGET_REPO" status --short
- If you have multiple local clones, verify all candidates before editing.
- Verify target file and section context before changing anything
git -C "$TARGET_REPO" ls-tree -r --name-only HEAD -- README.md megathreads | sed -n '1,120p'
git -C "$TARGET_REPO" show origin/main:README.md | sed -n '1,120p'
- Confirm the file exists in the working HEAD and that the section you plan to modify is in the expected place.
- Ground architectural guidance in the accepted implementation
- Inspect the current agent guide, final accepted commits, production entry points, generated artifacts, and canonical package scripts before writing.
- Reconcile counts and names mechanically when possible (for example, parse the generated tool-schema JSON rather than counting a long list by eye).
- Name the authoritative source and generated outputs separately. State “do not edit generated files directly” only when the repository actually provides a regeneration path.
- Convert completed feature work into stable class-level guidance: architecture, trust boundaries, default-off/fail-closed behavior, lifecycle ownership, and the commands future agents must run.
- Keep historical implementation milestones and one-time acceptance evidence out of
AGENTS.md; link to a durable design or evidence document if history is genuinely needed.
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.
- 4d ago First seen · 124 lines · 37 tokens per session scan A d54ca250d012
github-readme-maintenance is a skill published in the GitHub repository AtlasOmnia/donna-starter (102 stars, last pushed 5d ago), licensed MIT. It adds 37 tokens to every session and 1,215 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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