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 cajasmota/grafel --skill grafel-helpgit clone --depth 1 https://github.com/cajasmota/grafelWrote 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/cajasmota/grafel/grafel-help)<a href="https://agentmods.dev/skills/cajasmota/grafel/grafel-help"><img src="https://agentmods.dev/badge/skills/cajasmota/grafel/grafel-help/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/cajasmota/grafel/grafel-help"><img src="https://agentmods.dev/badge/skills/cajasmota/grafel/grafel-help.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.01230 |
| Opus 5 | $0.00023 | $0.00615 |
| Sonnet 5 | $0.00009 | $0.00246 |
| Haiku 4.5 | $0.00005 | $0.00123 |
Grade A, and why
grafel-help 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 9d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
grafel-help
Overview of the grafel skill family. Use this to orient yourself or to suggest the right starting point to a new team member.
Skill family
| Skill | One-line purpose |
|---|---|
/grafel-resolve |
Surface and resolve residual edges (runtime dispatch, dynamic URLs). Run first. |
/grafel-graph-quality |
Benchmark MCP vs grep+read on ~10–15 questions. Run to confirm graph health before spending tokens. |
/grafel-graph-enrich |
Emit YAML frontmatter for endpoints/flows/topics so the dashboard Paths, Flows, Topology panels display data. |
/grafel-tech-docs |
Generate per-module technical documentation for engineers. The big one — 13 passes, 25 min – 4 h. |
/grafel-business-docs |
Generate PM-facing capabilities, user journeys, business rules synthesised across the group. Independent of tech docs. |
/grafel-security-audit |
Two-phase security audit: static analysis (free) + LLM confirmation (interactive). |
/grafel-consult |
Panel of 5 specialist personas (architect, security auditor, business analyst, performance reviewer, refactor critic). Requires tech docs. |
/grafel-patterns-discover |
Discover recurring structural patterns across the group. Standalone. |
/grafel-patterns-sync |
Bidirectional sync of pattern markers with CLAUDE.md files. |
/grafel-aware-review |
PR-review-time skill that uses the graph to add context to code reviews. |
/grafel-test-page |
Single-entity smoke test of the LLM docgen loop. Debugging tool. |
/extend-convention |
Generate a stack convention file for a new language/framework. |
/using-grafel |
Orientation skill explaining how to use grafel day-to-day. |
/grafel-help |
This skill. |
Canonical execution chains
Minimum useful (first time on a new repo, ~30 min, ~$5–$20)
/grafel-resolve
/grafel-graph-quality (optional but recommended)
/grafel-graph-enrich
Result: a queryable, dashboard-rich graph. No prose docs yet.
Technical documentation (adds 25 min – 4 h)
/grafel-resolve
/grafel-graph-enrich (optional)
/grafel-tech-docs
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.
- 9d ago First seen · 117 lines · 47 tokens per session scan A 0edcad568b3c
grafel-help is a skill published in the GitHub repository cajasmota/grafel (14 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 1,230 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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