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/jebel-quant/rhiza-claude/docsnpx skills add Jebel-Quant/rhiza-claude --skill docsgit clone --depth 1 https://github.com/Jebel-Quant/rhiza-claudeWrote 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/jebel-quant/rhiza-claude/docs)<a href="https://agentmods.dev/skills/jebel-quant/rhiza-claude/docs"><img src="https://agentmods.dev/badge/skills/jebel-quant/rhiza-claude/docs.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 | $0.00046 | $0.02595 |
| Opus 5 | $0.00023 | $0.01298 |
| Sonnet 5 | $0.00009 | $0.00519 |
| Haiku 4.5 | $0.00005 | $0.00260 |
Grade A, and why
docs 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 5d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are running /docs in the current working directory's repo. Goal: author the
three top-of-repo documentation files — README.md, CLAUDE.md, mkdocs.yml — or,
where they exist, refresh them in place.
Argument (optional): $ARGUMENTS — readme, claude, or mkdocs for just that
file; all (or empty) for all three.
Refresh, don't clobber. Existing prose, tables, and section order are
authoritative. You may only: replace the generated badge block, add missing
standard sections, and correct stale facts (wrong owner/repo, dead workflow name,
changed template version). Never delete a hand-written section to standardise it —
report it instead. Prefer Edit over Write on an existing file so the diff stays
reviewable; Write is for scaffolding a file that isn't there.
Detect, never hardcode. Every fact comes from this repo at runtime. Nothing about
jebel-quant/rhiza is assumed.
1. Detect the repo's facts
- Root + cleanliness —
git rev-parse --show-toplevel, and notegit status --porcelain. A dirty tree is fine (you're editing docs) but say what the user is mixing your changes with. - Platform +
OWNER/REPOfromgit remote get-url origin:github.com→ GitHub; a GitLab host → GitLab. No remote ⇒ ask, or scaffold withOWNER/REPOplaceholders and flag them. - Default branch + visibility — one call, both platforms:
It returnsuv run --python 3.12 --no-project python \ "${CLAUDE_PLUGIN_ROOT}/scripts/platform_cli.py" repo-view --jsondefault_branchandvisibilitynormalised, which matters:ghanswersPUBLICandglabanswerspublic, so comparing the raw value gives a platform-dependent answer. Exit 1 (no CLI, or logged out) ⇒ fall back tomainand treat visibility as unknown. - Language, and therefore which manifest to read — ask rather than assume
pyproject.toml:
It returns the language, itsuv run --python 3.12 --no-project python "${CLAUDE_PLUGIN_ROOT}/scripts/language_profile.py" --jsonmanifestand itssource_root. Exit 1 means undetermined — scaffold without language-specific facts rather than guessing Python. - Project metadata — from the manifest that detection named.
pyproject.toml:project.name,description,requires-python/classifiers (→ Python versions),license.Cargo.toml:[package]name,description,edition,license.go.mod: the module path and thegodirective (→ Go version). From.rhiza/template.yml: the templateref. - CI workflow —
find .github/workflows -maxdepth 1 -name '*.yml', preferring one named*ci*(rhiza shipsrhiza_ci.yml); or.gitlab-ci.yml. A badge must point at a workflow that exists. - License — a
LICENSE/LICENSE.mdfile and its SPDX id. - Coverage service — a
codecov.yml/.codecov.yml, a Codecov step in CI, or an existing coverage badge. - ruff/uv usage —
ruff.tomlor a[tool.ruff]table; auv.lockoruv_buildbackend. (Visibility comes from therepo-viewcall above, which — unlike the baregh repo view --json visibilitythis used to name — also answers on GitLab.)
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.
- 5d ago First seen · 164 lines · 46 tokens per session scan A 9719198c6aa0
docs is a skill published in the GitHub repository Jebel-Quant/rhiza-claude (4 stars, last pushed 6d ago), licensed MIT. It adds 46 tokens to every session and 2,595 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 2026-08-31.
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