EdgeQuake is a Rust framework that turns documents into knowledge graphs for GraphRAG, a retrieval-and-generation approach that uses linked facts to help language models find relevant information. It is used to build applications that search and generate answers from document collections.
Borrowing it
Nothing to install: this file belongs to raphaelmansuy/edgequake. 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/raphaelmansuy/edgequake/edgequake-main/.github/skills/doc-traceability-validator/SKILL.mdgit clone --depth 1 https://github.com/raphaelmansuy/edgequakeWrote 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/raphaelmansuy/edgequake/doc-traceability-validator)<a href="https://agentmods.dev/skills/raphaelmansuy/edgequake/doc-traceability-validator"><img src="https://agentmods.dev/badge/skills/raphaelmansuy/edgequake/doc-traceability-validator/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/raphaelmansuy/edgequake/doc-traceability-validator"><img src="https://agentmods.dev/badge/skills/raphaelmansuy/edgequake/doc-traceability-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 298 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00042 | $0.03073 |
| Opus 5.5 | $0.00017 | $0.01229 |
| Sonnet 5.5 | $0.00008 | $0.00615 |
| Haiku 4.5 | $0.00004 | $0.00307 |
Grade A, and why
doc-traceability-validator 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 1mo 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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Traceability Validator Skill
Validate and maintain accurate traceability between code annotations (@implements FEATXXXX) and documentation registries (features.md, business_rules.md, use_cases.md). This skill detects gaps, collisions, and broken cross-references that compromise documentation accuracy.
When to use
Use this skill when you need to:
- Audit documentation accuracy: Verify all code features are documented
- Detect ID collisions: Find duplicate FEAT/BR/UC IDs before they break traceability
- Find undocumented features: Discover @implements annotations missing from registries
- Validate cross-references: Ensure FEAT↔BR↔UC links are valid
- Enforce namespace allocation: Verify features use correct ID ranges
- Generate registry entries: Auto-create documentation from code annotations
- CI/CD quality gates: Block PRs with documentation gaps
- Track documentation coverage: Monitor doc completeness over time
Core concepts
Traceability Chain
The validation framework ensures bidirectional traceability:
Code (@implements FEATXXXX) ←→ features.md ←→ business_rules.md ←→ use_cases.md
Chain integrity requires:
- Every @implements annotation has a features.md entry
- Every features.md entry references valid BR/UC IDs
- Every BR references valid FEAT IDs
- Every UC references valid BR/FEAT IDs
Validation Dimensions
| Dimension | Weight | Description |
|---|---|---|
| Completeness | 40% | % of code @implements that have docs |
| Uniqueness | 30% | % of IDs that are unique (no collisions) |
| Cross-refs | 20% | % of BR/UC references that resolve |
| Namespace | 10% | % of IDs in correct allocated ranges |
Composite Score:
Score = (0.40 × Completeness) + (0.30 × Uniqueness)
+ (0.20 × CrossRefs) + (0.10 × Namespace)
Namespace Allocation
What ships with it
6 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.
- 1mo ago First seen · 402 lines · 42 tokens per session scan A 5432edc4f884
doc-traceability-validator is a skill published in the GitHub repository raphaelmansuy/edgequake (2,281 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 3,073 once invoked, about $0.0002 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.
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