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idea-discovery

Workflow 1: Full idea discovery pipeline 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

77%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/idea-discovery/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

70%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 highly actionable, well-sequenced orchestration skill with explicit validation gates and error-recovery loops, but it pays for that with notable redundancy (repeated checkpoint boilerplate) and a monolithic structure that inlines contract-level detail a references/ file could carry.

Suggestions

Collapse the per-phase AUTO_PROCEED true/false checkpoint boilerplate into the single "Checkpoint execution rule" section; each phase can then just mark "🚦 Checkpoint — see rule above".

Extract the per-stage evidence-gate and run-state CLI contract (plus the reviewer-slot routing preamble) into a references/ file, keeping SKILL.md to the overview, constants, and phase table.

Trim the repeated "What this does" prose where the concrete sub-skill invocations already convey the same actions.

DimensionReasoningScore

Conciseness

Mostly operational content rather than explanations of known concepts, but the per-phase "When AUTO_PROCEED=true (non-blocking)" / "When AUTO_PROCEED=false (blocking)" boilerplate in Phases 1, 2, and 4.5 duplicates the dedicated "Checkpoint execution rule" section, and the dense reviewer-slot preamble adds further repetition. Not 4 because the duplication is noticeable across multiple phases; not 2 because there is no padding about concepts Claude already knows.

3 / 5

Actionability

Gives concrete sub-skill invocations with exact flags ("/research-lit "$ARGUMENTS" — sources: all, gemini — composed: idea-stage/IDEA_REPORT.md"), exact state-record/gate command templates, and a full report template. Not 5 because commands rely on placeholders (<resolved-python>, <run_id>, <thread-or-trace-id>) the executor must resolve and some steps remain prose-level ("Brainstorm 8-12 concrete ideas via GPT-6-Astra xhigh"); not 3 because the large majority of guidance is directly executable.

4 / 5

Workflow Clarity

A clearly sequenced Phase 0 → 5.6 pipeline with explicit validation: the per-stage evidence gate with artifact locators, explicit error-recovery loops (negative verdict → leave phase done, gate BLOCKED, re-run the reviewer-bearing phase), and BLOCKED gate results folded into the final report rather than hidden. Feedback loops for the batch/destructive-adjacent operations (GPU pilots, state records) are all present.

5 / 5

Progressive Disclosure

Well-organized sections and clearly signaled links to ../shared-references/ protocols, but this is a single ~530-line file with no references/, scripts/, or assets/ bundle, and detailed contracts (evidence-gate CLI semantics, reviewer-slot routing, run-state commands) are inlined where they would fit better in reference files. Not 2 because navigation is easy and links are clearly labeled; not 4 because substantial content that belongs in separate files remains inline.

3 / 5

Total

15

/

20

Passed

Description

78%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 with an explicit 'Use when' clause, natural multilingual trigger phrases, and a clear statement of the transformation it performs. Its main gap is that it summarizes the outcome rather than enumerating the concrete pipeline actions, which limits specificity.

Suggestions

Enumerate 2-3 concrete pipeline actions, e.g. "surveys the literature, brainstorms and novelty-checks candidate ideas, and runs pilot experiments to deliver a ranked idea report".

Add common English trigger synonyms such as "find research ideas" or "research topic exploration" alongside the existing Chinese and pipeline-specific phrases.

DimensionReasoningScore

Specificity

"Full idea discovery pipeline to go from a broad research direction to validated, pilot-tested ideas" names a concrete start and end state but lists none of the pipeline's discrete actions (literature survey, brainstorm, novelty check, pilot experiments) that the body actually performs. Not 4 because no specific actions are enumerated; not 2 because it is far more concrete than a generic domain label like "Processes PDF files".

3 / 5

Completeness

Explicitly answers both what ("pipeline to go from a broad research direction to validated, pilot-tested ideas") and when ("Use when user says ...") with concrete trigger phrases, matching the anchor-5 pattern. Not 4 because the 'when' clause is fully explicit with multiple concrete triggers rather than a vague "Use when working with" formulation.

5 / 5

Trigger Term Quality

"Use when user says '找idea全流程', 'idea discovery pipeline', '从零开始找方向'" provides natural trigger phrases a user would plausibly say. Not 5 because common English variations ("find research ideas", "research topic selection", "come up with ideas") are missing; not 3 because the included phrases are natural and specific rather than generic jargon.

4 / 5

Distinctiveness Conflict Risk

"idea discovery pipeline" carves a clear niche with distinct trigger phrases unlikely to fire for unrelated skills. Not 5 because the skill lives in an ecosystem of closely related research workflow skills (/idea-creator, /research-pipeline referenced in the body), creating minor overlap risk within that family.

4 / 5

Total

16

/

20

Passed

Validation

75%

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

Validation — 12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (539 lines); consider splitting into references/ and linking

Warning

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 8 suspicious

Warning

Total

12

/

16

Passed

Repository

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

Path

skills/idea-discovery/SKILL.md

Reviewed

Table of Contents

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