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github-evidence-kit

Generate, export, load, and verify forensic evidence from GitHub sources. Use when creating verifiable evidence objects from GitHub API, GH Archive, Wayback Machine, local git repositories, or security vendor reports. Handles evidence storage, querying, and re-verification against original sources.

68

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

65%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with executable code and method tables, but it is a monolithic API reference inflated with hype commentary and content Claude already knows. It lacks explicit verification feedback loops and does not split detail into one-level-deep reference files.

Suggestions

Remove hype padding ("forensic gold!") and drop the enumerated GitHub event-types table or move it to a reference file, since Claude already knows these event types.

Add an explicit validate->fix->retry checkpoint around evidence verification (e.g., "run store.verify_all(); if errors, fix the failing evidence and re-verify before exporting").

Extract the per-collector API reference, IOC types, and BigQuery credential setup into one-level-deep reference files and link to them from a concise overview in SKILL.md.

DimensionReasoningScore

Conciseness

Mostly efficient API reference and code, but padded with hype ("This is forensic gold!", "reveals force-pushed or deleted commits!") and a full enumerated table of standard GitHub event types that Claude already knows.

2 / 3

Actionability

Quick Start and per-collector sections give complete, executable Python with method-return-type tables; code is copy-paste ready rather than pseudocode.

3 / 3

Workflow Clarity

A collect->store->verify sequence is shown and verification exists, but there are no explicit validation checkpoints or validate->fix->retry feedback loops for this accuracy-sensitive forensic process.

2 / 3

Progressive Disclosure

Sections are organized but the API reference, event-type catalog, and BigQuery setup are all inline in SKILL.md; no reference files exist and the only bundle script (init_investigation.py) is never referenced from the body.

2 / 3

Total

9

/

12

Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concise, third-person, and clearly answers both what the skill does and when to use it with an explicit trigger clause. It enumerates concrete actions and distinctive source-specific triggers with no vague fluff.

DimensionReasoningScore

Specificity

"Generate, export, load, and verify forensic evidence" plus "Handles evidence storage, querying, and re-verification" lists multiple distinct concrete actions, matching the multiple-specific-actions anchor rather than a single domain+actions level.

3 / 3

Completeness

It states what ("Generate, export, load, and verify forensic evidence from GitHub sources") and an explicit "Use when..." trigger enumerating the source scenarios, clearly answering both what and when.

3 / 3

Trigger Term Quality

"GitHub API, GH Archive, Wayback Machine, local git repositories, or security vendor reports" gives good coverage of the natural terms a forensics user would actually say, beyond just one keyword.

3 / 3

Distinctiveness Conflict Risk

The GitHub-source forensics/verification niche with distinctive triggers (GH Archive, Wayback, vendor reports) is unlikely to conflict with generic skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
gadievron/raptor
Reviewed

Table of Contents

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