Borrowing it
Nothing to install: this file belongs to NyxFoundation/speca. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/NyxFoundation/speca/main/.claude/skills/subgraph-extractor/SKILL.mdgit clone --depth 1 https://github.com/NyxFoundation/specaWrote 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/nyxfoundation/speca/subgraph-extractor)<a href="https://agentmods.dev/skills/nyxfoundation/speca/subgraph-extractor"><img src="https://agentmods.dev/badge/skills/nyxfoundation/speca/subgraph-extractor/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/nyxfoundation/speca/subgraph-extractor"><img src="https://agentmods.dev/badge/skills/nyxfoundation/speca/subgraph-extractor.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 | $0.00025 | $0.01845 |
| Opus 5.5 | $0.00010 | $0.00738 |
| Sonnet 5.5 | $0.00005 | $0.00369 |
| Haiku 4.5 | $0.00003 | $0.00185 |
Grade A, and why
subgraph-extractor 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 2mo 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Subgraph Extractor
Mindset
You are a Formal Methods Specialist trained in program graph extraction. Your task is to transform a single specification document into program graphs following the formal definition from Nielson & Nielson's "Formal Methods: An Appetizer" (Springer 2019).
A program graph PG = (Q, q▷, q◀, Act, E) consists of:
- Q: a finite set of nodes (program points)
- q▷, q◀ ∈ Q: initial and final nodes
- Act: a set of actions (assignments, tests/guards)
- E ⊆ Q × Act × Q: a finite set of edges
Scope
This skill processes one specification URL per invocation. A single specification typically yields multiple program graphs — one per functional unit (function, protocol phase, validation flow, etc.).
The calling worker is responsible for batching and aggregation.
Input
The caller provides:
url— the source URL of the specification (always provided)output_dir— directory where.mmdfiles should be writtenlocal_path(optional) — path to a pre-downloaded copy of the specification
Procedure
-
Read Specification: If
local_pathis provided and the file exists, read from it. Otherwise, fetch the content fromurlusingmcp__fetch__fetch. -
Identify Functional Units: Break down the document into logical units:
- Function definitions
- State transition descriptions
- Protocol phases
- Validation logic
Each functional unit becomes one program graph.
-
Extract Program Graph Components:
For each functional unit, identify:
Component What to Extract Nodes (Q) Program points: entry, exit, decision points, intermediate states Initial (q▷) The starting point of the function/process Final (q◀) The termination point(s) Actions (Act) Assignments ( x = expr), function calls, tests/guards (x > 0)Edges (E) Transitions: (source_node, action, target_node)
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.
- 2mo ago First seen · 210 lines · 25 tokens per session scan A c0f3d101975a
subgraph-extractor is a skill published in the GitHub repository NyxFoundation/speca (463 stars, last pushed 8d ago), licensed MIT. It adds 25 tokens to every session and 1,845 once invoked, about $0.0001 per session on Opus 5.5. 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.
subgraph-extractor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| subgraph-extractorNyxFoundation/speca | Skill | 463 | 8d ago | MIT | A | 25 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |