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 chipi/agentic-ai-homelab --skill docs-preflightgit clone --depth 1 https://github.com/chipi/agentic-ai-homelabWrote 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/chipi/agentic-ai-homelab/docs-preflight)<a href="https://agentmods.dev/skills/chipi/agentic-ai-homelab/docs-preflight"><img src="https://agentmods.dev/badge/skills/chipi/agentic-ai-homelab/docs-preflight/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/chipi/agentic-ai-homelab/docs-preflight"><img src="https://agentmods.dev/badge/skills/chipi/agentic-ai-homelab/docs-preflight.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00113 | $0.01012 |
| Opus 5.5 | $0.00045 | $0.00405 |
| Sonnet 5.5 | $0.00023 | $0.00202 |
| Haiku 4.5 | $0.00011 | $0.00101 |
Grade A, and why
docs-preflight 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 17d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
docs-preflight
Run the project's strict docs build locally and report green/red before a docs commit lands. Strict mode is what CI runs — catching a broken cross- reference here costs ~20s; catching it in CI costs a wasted push and a red badge.
When this applies
The change touches any docs-affecting path: docs/**, mkdocs.yml,
requirements-docs.txt, a Makefile docs target, conf.py,
docusaurus.config.*, book.toml. If in doubt and a docs toolchain exists, run
it — it's cheap.
Detect the toolchain, then run its strict build
Use the first match, top to bottom. A repo's own make target is preferred
because it already encodes the venv and the correct strict flags.
- Makefile docs target —
grep -E '^docs-build:|^docs:' Makefile. If present, runmake docs-build(ormake docs). This is the common case for repos scaffolded from the operator'snew-projecttemplate. - MkDocs —
mkdocs.ymlat repo root. Prefer the project venv:.venv/bin/mkdocs build --strict --cleanif.venv/bin/mkdocsexists- else
python -m mkdocs build --strict --clean
- Sphinx —
docs/conf.py.sphinx-build -W -b html docs /tmp/_docs_preflight(-Wpromotes warnings to errors = strict). - Docusaurus / npm —
package.jsonwith a docs build script (docs:build,build:docs, or adocsworkspace). Run that script; Docusaurus fails on broken links by default. - mdBook —
book.toml.mdbook build.
If none match, say so — there is nothing to preflight. Do not invent a build.
Then lint the changed Markdown
A strict build does not check Markdown style, and a repo's commit hook or CI often does. When
the repo has a markdownlint config (.markdownlint.json, .markdownlint.jsonc,
.markdownlint.yaml, .markdownlint-cli2.*), lint the changed .md files with it:
env -u NODE_OPTIONS markdownlint --config .markdownlint.json <changed .md files>
# or, for a .markdownlint-cli2.* config:
env -u NODE_OPTIONS markdownlint-cli2 <changed .md files>
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.
- 17d ago Changed · +21 lines · +16 tokens per session e75f4dd1f75c
- 2mo ago First seen · 56 lines · 97 tokens per session scan A 39045186a733
docs-preflight is a skill published in the GitHub repository chipi/agentic-ai-homelab (3 stars, last pushed today), licensed MIT. It adds 113 tokens to every session and 1,012 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
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