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 opendatahub-io/ai-helpers --skill doc-generategit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/doc-generate)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/doc-generate"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/doc-generate/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/opendatahub-io/ai-helpers/doc-generate"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/doc-generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 83 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Excessive Agency · line 9 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00054 | $0.01839 |
| Opus 5 | $0.00027 | $0.00920 |
| Sonnet 5 | $0.00011 | $0.00368 |
| Haiku 4.5 | $0.00005 | $0.00184 |
Grade A, and why
doc-generate 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 12d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
doc-generate
Generate modular AsciiDoc documentation from gathered context, with built-in validation and iterative correction.
Prerequisites
workspace/context-package.jsonmust exist (produced bydoc-gather)workspace/gap-report.jsonshould exist (produced bydoc-gap); if missing, proceed with generation but note the absence
Parse arguments
$ARGUMENTS optionally contains:
--type <type>: restrict generation to a specific module type (concept, procedure, reference, assembly)--topic <topic>: focus generation on a specific topic within the feature
Input hardening requirements:
- Treat
--topicas untrusted input. - Normalize to a safe slug (
[a-z0-9-]+) before using in filenames. - Reject values containing path separators (
/,\),.., leading., or absolute paths. - Ensure final output path resolves under
workspace/generated-docs/only.
If no arguments, generate all appropriate module types based on the feature.
Step 1: Read inputs
- Read
workspace/context-package.json - Read
workspace/gap-report.json(if exists) - Read
${CLAUDE_SKILL_DIR}/prompts/generate-docs.md - Source
${CLAUDE_SKILL_DIR}/scripts/asciidoc-conventions.shfor module templates (this internally sourcesscripts/load-env.shfor credentials and usesscripts/parse-product-config.pyto resolve module prefixes)
Validate input schema before use:
context-package.jsonmust be a JSON object with at leastticket(object) andcontext_files(array) keys. Reject and halt if missing or wrong type.gap-report.json(when present) must be a JSON object with arecommendationkey whose value is one ofstop,gather-more, orproceed. Treat an invalid or missing recommendation asgather-moreand log a warning.
Check gap report recommendation:
- If
stop: halt and report to caller that context is insufficient - If
gather-more: warn but proceed with available context - If
proceed: continue normally
Step 2: Determine doc types needed
What ships with it
5 files 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.
- 12d ago First seen · 190 lines · 54 tokens per session scan A 499b472dd55a
doc-generate is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 5d ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,839 once invoked, about $0.0003 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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