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aif-warmup

Load the essential AI Factory project context before work begins. Reads configured DESCRIPTION, ARCHITECTURE, ROADMAP, RESEARCH, RULES, and applicable AGENTS.md files, then returns a compact session handoff suitable for continuing or forking. Use at the start of a new session or after context loss.

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

73%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.

A well-structured, highly actionable procedural skill with an explicitly sequenced workflow and thorough edge-case handling. Its main weakness is token efficiency: roughly a quarter of the body is question-UI and precedence policy only loosely exercised by a read-only warmup.

Suggestions

Trim the "Runtime-aware questions" section to the one case that can occur (project root cannot be identified), or move the full question-tool contract to a shared reference, since the skill otherwise forbids asking setup questions.

Quantify the handoff size (e.g., a line or token budget for the Step 3 summary) so "concise" and "compact" are executable rather than judgment calls.

Merge the "Shared project skill-context" precedence rules into Step 0 or a short reference, removing the duplicated statements about not relaxing project boundaries.

DimensionReasoningScore

Conciseness

Steps 0-3 are tight and information-dense, but the ~20-line "Runtime-aware questions" section elaborates question-asking policy for an edge case the skill itself mostly forbids ("Do not ask setup questions unless the project root itself cannot be identified"), and "Shared project skill-context" restates precedence rules — content that could be tightened. Not 2, since there is no padded explanation of concepts Claude already knows.

3 / 5

Actionability

Highly concrete for an instruction-only skill: exact config keys with documented defaults ("paths.description (default .ai-factory/DESCRIPTION.md)"), ordered read sequences, named handoff sections, and explicit skip/stop rules. Not 5 because a few judgment calls (e.g., how "compact" the handoff should be) remain open.

4 / 5

Workflow Clarity

Steps 0-3 are clearly sequenced with explicit validation checkpoints for error recovery at each stage: "Missing artifacts are normal. Record them as missing and continue", "an existing unreadable file stops dependent work with its path", "If config cannot be parsed confidently, report that and use defaults", and "Report and ignore invalid entries" for warmup.paths. The skill is read-only, so the destructive-operation cap does not apply.

5 / 5

Progressive Disclosure

No bundle files exist, so all guidance appropriately lives in SKILL.md with well-organized, clearly headed sections and no nested references; the file paths mentioned in the body are the skill's runtime subject, not bundle references. Not 5 because the skill exceeds 50 lines and two policy sections (runtime-aware questions, shared skill-context) read as inlineable material that could be split out or slimmed.

4 / 5

Total

16

/

20

Passed

Description

88%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.

A strong description: concrete, third-person, with explicit what-and-when structure. Trigger coverage is good but lacks a few natural synonyms, and the session-start trigger is broad enough to slightly overlap generic onboarding skills.

DimensionReasoningScore

Specificity

"Reads configured DESCRIPTION, ARCHITECTURE, ROADMAP, RESEARCH, RULES, and applicable AGENTS.md files, then returns a compact session handoff" names multiple concrete actions and artifacts with comprehensive coverage for this skill's scope, in third person.

5 / 5

Completeness

Both halves are explicit: the "what" (reads the named context files and returns a compact handoff for continuing or forking) and the "when" ("Use at the start of a new session or after context loss"), matching the top anchor rather than the weaker-'when' level 4.

5 / 5

Trigger Term Quality

Natural phrases like "new session", "context loss", and "session handoff" are present, but common synonyms such as "onboarding", "catch up", or "brief me" are missing, so coverage is good rather than comprehensive.

4 / 5

Distinctiveness Conflict Risk

"AI Factory" scoping plus the named artifact set gives a clear niche, but the broad trigger "start of a new session" could overlap generic onboarding or context-loading skills, leaving minor conflict risk.

4 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

lee-to/ai-factory

Path

skills/aif-warmup/SKILL.md

Reviewed

Table of Contents

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