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idea-discovery

Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.

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

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 orchestrator skill: the phased pipeline is clearly sequenced with explicit checkpoints, both checkpoint modes, feedback loops, and hard validation caps for batch GPU pilots, and the bespoke constants and rules genuinely add information Claude could not infer. The main weakness is token efficiency — the per-phase checkpoint templates repeat the AUTO_PROCEED rule already stated once in the Checkpoint execution rule section — with a minor gap in that the Feishu notification path has no concrete send command.

Suggestions

Collapse the per-phase 'When AUTO_PROCEED=true/false' template blocks: state the rule once in the Checkpoint execution rule section (which already covers it) and keep only a one-line 🚦 marker per phase, cutting roughly 60 lines of repetition.

Add the concrete send command (or a pointer to it) for the Feishu checkpoint/pipeline_done notifications in the Key Rules section, since only the ~/.codex/feishu.json existence check is currently specified.

Move the ~40-line Phase 5 report template to a reference file (e.g. references/IDEA_REPORT_TEMPLATE.md) and link to it, keeping SKILL.md as a lean overview of the pipeline.

DimensionReasoningScore

Conciseness

The "Checkpoint execution rule" section fully defines the blocking/non-blocking AUTO_PROCEED behavior once, yet Phases 1, 2, and 4.5 each re-print near-identical two-mode checkpoint templates that restate the same rule, and the Phase 2 template largely duplicates Phase 1's — noticeable repetition that could be tightened, fitting anchor 3 (mostly efficient but could be tightened) better than anchor 4.

3 / 5

Actionability

Guidance is mostly executable: concrete invocations (/research-lit "$ARGUMENTS"), numeric constants (PILOT_MAX_HOURS=2, MAX_TOTAL_GPU_HOURS=8), named output paths (idea-stage/IDEA_REPORT.md, refine-logs/FINAL_PROPOSAL.md), and a full report template. Minor gaps — the Feishu notification rule checks ~/.codex/feishu.json but gives no concrete send command — keep it at anchor 4 rather than the fully copy-paste-ready coverage of anchor 5.

4 / 5

Workflow Clarity

Phases 1→2→3→4→4.5→5 are clearly sequenced, every phase has an explicit 🚦 checkpoint spelling out both AUTO_PROCEED modes, feedback loops exist (user requests changes → re-run /research-lit or Phase 2, repeat until satisfied), and the batch GPU pilots carry hard validation rules (PILOT_TIMEOUT_HOURS kill, MAX_TOTAL_GPU_HOURS budget cap, paper-only elimination fallbacks) — a clear match to anchor 5.

5 / 5

Progressive Disclosure

The body is a well-sectioned orchestrator overview that appropriately delegates detail to sub-skills, and its only file references (../../shared-references/output-versioning.md, output-manifest.md, output-language.md) are one level deep and clearly signaled in Output Protocols. The ~40-line inline final-report template is the direct output format and arguably belongs inline, but it is the kind of bulk content that could live in a reference file — good structure with a minor organization gap, matching anchor 4.

4 / 5

Total

16

/

20

Passed

Description

83%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 that explicitly states both what the skill does (the orchestrated sub-skill chain and its transformation of a broad direction into validated, pilot-tested ideas) and when to use it, with natural bilingual trigger phrases. Weaknesses are minor: the sub-skill chain omits the refine-pipeline stage, some natural keyword variants are missing, and the generic 'complete idea exploration workflow' phrasing slightly overlaps the related research-pipeline skill.

DimensionReasoningScore

Specificity

"Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas" names concrete chained components and a concrete outcome, but the actions are named sub-skills rather than first-class operations and the chain omits the research-refine-pipeline phase documented in the body — minor gaps in coverage, matching anchor 4 rather than the comprehensive coverage of anchor 5.

4 / 5

Completeness

It explicitly answers both questions: what ("Orchestrates research-lit → … to go from a broad research direction to validated, pilot-tested ideas") and when ("Use when user says '找idea全流程', 'idea discovery pipeline', '从零开始找方向', or wants the complete idea exploration workflow") with concrete trigger phrases — a clear match to anchor 5, not anchor 4 where the 'when' would be less explicit.

5 / 5

Trigger Term Quality

Triggers "idea discovery pipeline", "找idea全流程", "从零开始找方向", and "complete idea exploration workflow" are natural user phrasings with useful bilingual synonyms, but common variants such as "research ideas" or "brainstorm research ideas" are missing — good coverage with a few natural terms absent, so anchor 4 rather than the comprehensive synonym coverage of anchor 5.

4 / 5

Distinctiveness Conflict Risk

The pipeline-specific triggers ("idea discovery pipeline", "找idea全流程") carve out a distinct niche, but "complete idea exploration workflow" risks overlap with the sibling /research-pipeline skill described in the body as the full end-to-end flow — mostly distinct with minor overlap risk, matching anchor 4.

4 / 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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 suspicious

Warning

Total

15

/

16

Passed

Repository

wanshuiyin/Auto-claude-code-research-in-sleep

Path

skills/skills-codex-gemini-review/idea-discovery/SKILL.md

Reviewed

Table of Contents

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