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-graph-enrichgit 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-graph-enrich)<a href="https://agentmods.dev/skills/cajasmota/grafel/grafel-graph-enrich"><img src="https://agentmods.dev/badge/skills/cajasmota/grafel/grafel-graph-enrich/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-graph-enrich"><img src="https://agentmods.dev/badge/skills/cajasmota/grafel/grafel-graph-enrich.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Agent Snooping · line 109 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 114 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00067 | $0.01783 |
| Opus 5 | $0.00034 | $0.00892 |
| Sonnet 5 | $0.00013 | $0.00357 |
| Haiku 4.5 | $0.00007 | $0.00178 |
Grade A, and why
grafel-graph-enrich 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 11d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
grafel-graph-enrich
Annotate the grafel knowledge graph with structured YAML frontmatter so the dashboard's Paths, Flows, and Topology panels display rich data. This skill runs in two sequential phases:
- Phase 1 — Enrichment (
prompts/13-enrichment.md): emit YAML frontmatter for everyhttp_endpoint,process_flow, andmessage_topicentity. Uses tiered model selection (Haiku for most entities, Sonnet forcriticalband) and batches 20–50 entities per LLM call. Idempotent — already-enriched entities are skipped. - Phase 2 — Validation (
prompts/14-frontmatter-validation.md): re-read every enriched doc file and verify each field against the backend parser's expectations. Catches schema drift before the user notices a blank dashboard panel.
The skill is independent of prose documentation. The dashboard becomes useful with enrichment alone — even if no tech docs or business docs have been written.
When to use this skill
Invoke when the user asks for any of:
- "Enrich the Paths panel" / "add summaries to my flows" / "make Topology show data."
- "Run the enrichment pass."
- "The dashboard panels are blank — fix that."
/grafel-graph-enrich(slash command).
Do not invoke it for prose documentation (that is /grafel-tech-docs). Do not invoke it to repair residual edges (that is /grafel-resolve).
Inputs the skill expects
- A running grafel daemon (
grafel_orient (view=me)must succeed). - A registered, indexed group with enrichment candidates in the queue (
grafel_docgen_apply(kind="enrichments", action=list, status="pending")returns results). - Optional:
--delta-onlyflag — process only entities withstatus="pending"that are newly added since the last run (the default behaviour; the flag makes it explicit). - Optional:
--yesflag — skip the cost-estimate confirmation prompt (for automation). - Optional:
--group <name>— override group when CWD is ambiguous.
If grafel_docgen_apply(kind="enrichments", action=list, status="pending") returns zero results, the skill exits with "No pending enrichment candidates. Nothing to do." (success).
What ships with it
2 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.
- 11d ago First seen · 122 lines · 67 tokens per session scan A 35771ccb8592
grafel-graph-enrich is a skill published in the GitHub repository cajasmota/grafel (15 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 1,783 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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