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analyze-project

Forensic root cause analyzer for Antigravity sessions. Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health.

66

Quality

80%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

High

Do not use without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/analyze-project/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

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

The content is a highly actionable, well-sequenced analysis workflow with strong checklists and evidence/confidence validation. Its main weakness is the absence of progressive disclosure — everything lives in one large file with no reference split.

Suggestions

Move the report template (Step 10) and the severity-scoring rubric (Step 6.5) into separate reference files (e.g. REPORT_TEMPLATE.md, SEVERITY_RUBRIC.md) and link to them from the body.

Consider extracting the field-record checklists for Steps 2–6 into a single FIELDS.md reference to slim the main body.

Tighten the calibration examples in Step 4 and the threshold tables in Step 10, which restate guidance already implied by the bands.

DimensionReasoningScore

Conciseness

The body is mostly efficient procedural guidance that assumes Claude's competence and avoids explaining known concepts, with only minor instances (calibration examples, threshold tables) that could be trimmed.

4 / 5

Actionability

Each step provides concrete, specific guidance — explicit field lists, fixed taxonomies (root-cause codes, rework shapes), and a 0–100 severity rubric with component weights — making the instruction-only workflow fully actionable.

5 / 5

Workflow Clarity

Steps 0.5–11 are clearly sequenced with per-step checklists (fields to record) and explicit evidence/confidence validation plus "why stronger alternatives were rejected" reasoning; the read-only analysis context means the destructive/batch cap does not apply.

5 / 5

Progressive Disclosure

The ~430-line body is well-sectioned internally but is entirely monolithic with no bundle files and no one-level-deep references, so bulk content (report template, severity rubric, taxonomies) that could live in separate reference files is inlined.

3 / 5

Total

17

/

20

Passed

Description

75%Weight 40%Scale 1-5

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 specific, distinctive, and action-oriented, but it omits any explicit "Use when..." trigger guidance, which caps its completeness. Adding a trigger clause would raise the score meaningfully.

Suggestions

Append an explicit trigger clause, e.g. "Use when reviewing or diagnosing Antigravity coding sessions, or when the user asks for root-cause analysis of session rework."

Soften jargon like "scope deltas" and "rework patterns" with natural synonyms a user would actually say, such as "scope changes" and "rework".

Consider naming the output artifact ("produces a session_analysis_report.md") so the "what" includes the deliverable.

DimensionReasoningScore

Specificity

"Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health" lists multiple concrete, distinct actions with comprehensive coverage of the analyzer's capabilities.

5 / 5

Completeness

The "what" is clearly stated, but there is no "Use when..." clause or equivalent explicit trigger guidance, so completeness is capped at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Natural terms like "root cause analyzer", "Antigravity sessions", and "hotspots" are present, but some phrases ("scope deltas", "rework patterns") lean technical and a few common synonyms (e.g. "session review", "analyze sessions") are missing.

4 / 5

Distinctiveness Conflict Risk

"Forensic root cause analyzer for Antigravity sessions" carves out a clear, narrow niche tied to a specific tool, with minimal overlap risk against other skills.

5 / 5

Total

17

/

20

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
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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