skill-graph-audit

skill-graph-audit is a skill for Claude Code from athola/claude-night-market. It costs 25 tokens per session (1,068 once invoked), scanned A, original, MIT.

A tool for inspecting how skills refer to and invoke one another across a marketplace. It finds heavily referenced skills, isolated skills, and references to skills that do not exist.

In plain words
What is it for?
Use it to check skill references after renaming or retiring entries, find orphaned skills, and identify highly connected skills or orchestration patterns.
Why use it?
Skill collections can develop broken links, unused entries, or risky central dependencies after changes. An audit makes these structural problems visible before they affect documentation or maintenance.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 plugins/abstract/scripts/skill_graph.py \.

Part of the abstract plugin — 16 skills, 17 commands, 5 agents, 4 hooks shipped together

Good fit Use it to check skill references after renaming or retiring entries, find orphaned skills, and identify highly connected skills or orchestration patterns.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/athola/claude-night-market
agentmods
npx agentmods add skills/athola/claude-night-market/skill-graph-audit

Made for: Claude Code.

Or install abstract, the plugin that ships this one along with the rest of its 16 skills, 17 commands, 5 agents, 4 hooks.

Wrote 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.

agentmods badge for skill-graph-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/athola/claude-night-market/skill-graph-audit/github.svg)](https://agentmods.dev/skills/athola/claude-night-market/skill-graph-audit)
Your own site
<a href="https://agentmods.dev/skills/athola/claude-night-market/skill-graph-audit"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/skill-graph-audit/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.

agentmods 80×15 button for skill-graph-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/athola/claude-night-market/skill-graph-audit"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/skill-graph-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,068 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.01068
Opus 5 $0.00013 $0.00534
Sonnet 5 $0.00005 $0.00214
Haiku 4.5 $0.00003 $0.00107

Measured 8d ago against content hash 27621b03ead2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

skill-graph-audit 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 8d 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.

plugins/abstract/skills/skill-graph-audit/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Graph Audit

Overview

Build a directed graph of Skill(plugin:name) invocations across the marketplace and surface composition patterns: which skills are heavily referenced (hubs), which orchestrate many others (orchestrators), which have no incoming or outgoing references (isolates), and which point at non-existent skills (dangling references).

The federation graph is now derivable from source rather than hand-curated.

When To Use

  • Before a documentation pass on skill composition
  • After a renaming or retirement to catch broken Skill() references
  • During quarterly audits to spot orphaned skills
  • When evaluating consolidation candidates (hubs are higher-risk to merge)
  • When a new skill's outbound references should be sanity-checked

When NOT To Use

  • For per-skill quality scoring, use Skill(abstract:skills-eval) instead
  • For frontmatter/structure validation, use Skill(abstract:plugin-review)
  • For hook-specific audits, use Skill(abstract:hooks-eval)

Quick Start

python3 plugins/abstract/scripts/skill_graph.py \
  --plugins-root plugins --top-n 10

For machine-readable output:

python3 plugins/abstract/scripts/skill_graph.py \
  --plugins-root plugins --format json --output reports/skill-graph.json

See modules/usage.md for full CLI reference and example workflows.

Core Outputs

Output Meaning Action when high
Hubs Most-referenced skills Treat as core API; retire with extreme care
Orchestrators Skills that call many others Verify each ref still resolves
Isolates Zero in / zero out Check role: library? entrypoint? typo?
Dangling: bugs Missing internal target Fix immediately (typo or retired skill)
Dangling: external Reference to external plugin Document plugin dependency
Dangling: placeholders Template text like -NAME Verify intentional

See modules/interpretation.md for false-positive guidance and isolation taxonomy.

Read the full file on GitHub · 127 lines

Files

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.

Changes

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.

  1. 8d ago First seen · 127 lines · 25 tokens per session scan A 27621b03ead2

Subscribe to this mod's changes

skill-graph-audit is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,068 once invoked, about $0.0001 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 2026-09-03.

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