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idea-discovery-robot

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%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 concrete invocations, constants, checkpoints, and templates throughout. Its weaknesses are token efficiency (systematic duplication of the robotics frame and sim-first/hardware rules across sections) and structure (a monolithic single-file layout with no bundle split despite referencing shared files).

Suggestions

Collapse the Overview's constraint bullet list into the Phase 0 'Robotics Problem Frame' so embodiment/task/interface fields are stated once, and cut the repetition of the sim-first/no-hardware rule from Constants, Execution Rule, and Phase 3 down to a single authoritative statement in Key Rules.

Split the full Phase 6 report skeleton and the Phase 1 landscape-matrix table into a reference file (e.g. references/report-template.md) and link to it, keeping SKILL.md as an overview.

Trim the verbatim checkpoint message templates to short bullet cues (idea, embodiment, benchmark, risk) instead of full emoji-formatted message bodies, since Claude can compose the prose itself.

DimensionReasoningScore

Conciseness

The body does not explain concepts Claude already knows (RL, BC, sim2real are used tersely), but it is systematically redundant: the Overview's constraint axes (embodiment, task family, observation/action interface, sim-first default) are restated nearly verbatim in the Phase 0 frame, and the sim-first/no-hardware rule is repeated in Constants, Execution Rule, the Real Robot Rule, Key Rules, and Phase 3. Checkpoint message templates add further padding that could be tightened.

3 / 5

Actionability

Every phase gives exact executable invocations (e.g. '/research-lit "$ARGUMENTS — focus venues: CoRL, RSS, ICRA, IROS, RA-L, TRO, Science Robotics"'), concrete constants (MAX_PILOT_IDEAS = 3, PILOT_MODE = sim-first), a copy-paste pilot-design field list, a full report skeleton, and verbatim checkpoint messages. This is fully copy-paste ready for an orchestration skill.

5 / 5

Workflow Clarity

Phases 0-6 are clearly sequenced with explicit checkpoints after Phase 1 and Phase 2, decision branches for each possible user response (approve / request changes / narrow scope), AUTO_PROCEED fallback behavior, an explicit rule to continue past Phase 3 even without execution, and a re-run feedback loop ('refine the robotics frame, re-run Phase 1, and present again'). This matches the top anchor including error-recovery loops.

5 / 5

Progressive Disclosure

There are no bundle files (references/, scripts/, assets/ are absent) and the entire 370-line skill is one monolithic document: the full report template, the landscape-matrix guidance, and the pilot-design template are all inline where an overview-plus-references split would fit. The shared-references links (reviewer-backends.md, output-versioning.md, output-manifest.md, output-language.md) are clearly signaled, but the dense reviewer-routing blockquote at the top largely duplicates what the linked shared reference governs.

3 / 5

Total

16

/

20

Passed

Description

96%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 action list, explicit 'Use when' trigger clause with natural bilingual keywords, and a well-defined robotics niche. Only minor issues — the unexplained 'Workflow 1 adaptation' jargon and slight overlap risk with a generic idea-discovery sibling skill.

DimensionReasoningScore

Specificity

The description lists four concrete pipeline actions — 'robotics-aware literature survey, idea generation, novelty check, and critical review' — plus the concrete outcome 'benchmark-grounded, simulation-first ideas', giving comprehensive action coverage with no filler. The only weak spot is the opening jargon 'Workflow 1 adaptation', but it is not an action claim.

5 / 5

Completeness

It explicitly answers 'what' (orchestrates survey, idea generation, novelty check, and critical review into benchmark-grounded sim-first ideas) and 'when' via a direct 'Use when user says ...' clause listing concrete trigger phrases — matching the top anchor exactly.

5 / 5

Trigger Term Quality

Trigger coverage is comprehensive and natural in two languages: '"robotics idea discovery"', '"机器人找idea"', '"embodied AI idea"', '"机器人方向探索"', '"sim2real 选题"', plus domain keywords 'manipulation, locomotion, navigation, drones, humanoids, or general robot learning'. Synonyms and phrasings a user would actually say are well represented.

5 / 5

Distinctiveness Conflict Risk

The robotics/embodied-AI idea-discovery niche is clear and the sim2real and Chinese trigger phrases are distinctive, but 'idea generation, novelty check, and critical review' overlap functionally with a generic research-idea-discovery sibling skill (this is explicitly an adaptation of one), leaving minor overlap risk on broad triggers like 'embodied AI idea'.

4 / 5

Total

19

/

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: 4 suspicious

Warning

Total

15

/

16

Passed

Repository

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

Path

skills/skills-codex/idea-discovery-robot/SKILL.md

Reviewed

Table of Contents

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