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result-to-claim

Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.

Quality

82%

Does it follow best practices?

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SecuritybySnyk

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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.

An operationally rich, well-sequenced gate skill: explicit validation checkpoints, fail-closed reviewer handling, and deterministic pre-checks make the workflow unambiguous. Its weaknesses are token efficiency — meta-commentary and repeated fallback messaging inflate the body — and two long inline bash blocks that would be better placed in scripts/ bundle files.

Suggestions

Trim the meta-commentary and repeated Policy-B WARN messages into a single short policy note; phrases like 'this is a real step, not a suggestion' and 'the exact bug this closes' can be cut without losing operational content.

Move the ~40-line Step 1.5 pre-check bash and the ~65-line Step 5 wiki bash into scripts/ helpers (e.g., scripts/evidence_precheck.sh, scripts/update_wiki.sh) and keep only the invocation plus act-on-status rules inline.

Consolidate the two dense routing preamble blockquotes at the top into one short paragraph (or the referenced reviewer-backends doc), keeping the SKILL.md opening focused on what the gate does.

DimensionReasoningScore

Conciseness

The body is dense with genuinely operational content and explains nothing Claude already knows, but contains noticeable tightening opportunities: meta-commentary ('this is a real step, not a suggestion', 'the exact bug this closes'), repeated Policy-B WARN strings, and an overloaded reviewer-routing preamble blockquote. Fits 'mostly efficient but could be tightened' rather than anchor 2's padded explanatory sections.

3 / 5

Actionability

The Step 1.5 evidence pre-check bash and the Step 5 resolver chain are copy-paste executable, and Step 2 provides a complete MCP call spec (model, config, full prompt template). However, Step 5's core is an algorithmic template mixing pseudocode control flow ('for each claim resolved by this verdict…') with embedded commands, and several blocks require placeholder assembly — mostly executable with minor gaps, one notch below fully copy-paste ready.

4 / 5

Workflow Clarity

Clearly sequenced Steps 1→5 with explicit mid-sequence validation checkpoints (the Step 1.5 deterministic evidence pre-check with act-on-status feedback, the Step 3.5 integrity gate with fail-closed downgrade rules), error-recovery loops (reviewer fallback chain, warn-and-skip policies), and per-verdict routing. This matches the anchor for explicit validation steps with feedback loops and checklists.

5 / 5

Progressive Disclosure

Detailed protocols are appropriately split into one-level-deep, clearly signaled shared-references links (review-tracing, external-cadence, evidence-precheck, wiki-helper-resolution), but two very long bash blocks (~40 and ~65 lines) are inlined that belong in scripts/ helpers, and the referenced paths sit outside the skill bundle (../shared-references/), unverifiable from the skill directory itself. Good structure with minor organization gaps rather than a fully clean split.

4 / 5

Total

16

/

20

Passed

Description

87%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 multi-action capability statement paired with two explicit, well-differentiated trigger clauses covering both the what and the when. The only room for improvement is a slightly broader set of natural trigger synonyms and more artifact-level specificity in the action verbs.

DimensionReasoningScore

Specificity

Lists several concrete actions — 'judge what claims the results support, what they don't, and what evidence is still missing' and 'routes to next action (pivot, supplement, or confirm)' — with named outcomes, but 'judge/evaluates' remain conceptual rather than artifact-level, leaving minor coverage gaps relative to the comprehensive anchor 5.

4 / 5

Completeness

Explicitly answers both: 'what' (judge claim support, identify what results don't support and missing evidence, evaluate against intended claims, route to pivot/supplement/confirm) and 'when' with two concrete trigger clauses ('Use when experiments complete…', 'Use after experiments finish — before writing the paper or running ablations'), matching the anchor-5 example pattern.

5 / 5

Trigger Term Quality

Good natural-term coverage: 'experiments complete', 'experiments finish', 'results', 'claims', 'before writing the paper', 'running ablations'. A few natural variations users might say ('interpret results', 'evaluate findings') are missing, so it sits above anchor 3 but below the synonym-sweeping anchor 5.

4 / 5

Distinctiveness Conflict Risk

Clear niche — adjudicating experimental results against research claims — with distinct triggers and explicit boundary markers ('before writing the paper or running ablations') that separate it from adjacent pipeline skills; minimal conflict risk.

5 / 5

Total

18

/

20

Passed

Validation

81%

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

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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: 4 suspicious

Warning

Total

13

/

16

Passed

Repository

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

Path

skills/result-to-claim/SKILL.md

Reviewed

Table of Contents

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