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auto-review-loop

Autonomous multi-round research review loop. Uses a fresh Codex agent or selected Gemini, Grok, or Claude Code reviewer, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.

Quality

80%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/skills-codex/auto-review-loop/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

66%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.

Operationally excellent — the loop workflow is precisely sequenced with validation gates and copy-ready prompts — but token-inefficient due to large verbatim duplications and changelog residue. The monolithic 550-line body with no local bundle files also underuses progressive disclosure.

Suggestions

State the SCOPE LIMITS block once (e.g., in review-scope-limits.md, which is already linked) and reference it from both prompt templates instead of duplicating it verbatim — saves ~35 lines.

Consolidate the three overlapping Debate Protocol descriptions ('Claude-Aligned Reviewer Memory and Debate', 'Instructions', and Phase B.6) and the duplicated reviewer-memory rules into a single section.

Move the Acquittal Gate Test Specifications and the REVIEWER_MEMORY.md template into a reference file, and drop changelog meta-commentary like '(Earlier wording used "or" + a stale verdict set...)' from the operational text.

DimensionReasoningScore

Conciseness

The ~550-line body duplicates the 35-line SCOPE LIMITS block verbatim twice, describes the Debate Protocol in three separate sections, repeats reviewer-memory rules twice, and includes changelog meta-commentary ('Earlier wording used "or" + a stale verdict set') — several padded sections, noticeably verbose rather than merely tightenable.

2 / 5

Actionability

Concrete spawn_agent/send_input templates, exact review_gate.py command lines, and JSON state schemas make the default path fully executable; minor gaps are the deferred resolution of $REVIEW_GATE/reviewer_route.py via an external integration-contract.md and shared-references files not present in this bundle.

4 / 5

Workflow Clarity

Phases A–E are clearly sequenced with explicit validation gates (stop-evaluation gate, append-only receipt rules, 24-hour resume logic, run_id binding) plus four test specifications verifying the acquittal mechanism — feedback loops and checkpoints are present throughout.

5 / 5

Progressive Disclosure

Good section structure with clearly signaled one-level-deep links (reviewer-backends.md, review-scope-limits.md, output protocols), but no bundle files exist here, references resolve outside the skill directory, and content that belongs in reference files (test specs, full duplicated prompt blocks, memory templates) is inlined.

4 / 5

Total

15

/

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 'Use when' triggers quoted verbatim as a user would say them. Only slight broadness in the 'autonomous iterative improvement' trigger and a few missing natural synonyms keep it from full marks.

DimensionReasoningScore

Specificity

Lists multiple concrete actions covering the whole loop — 'Uses a fresh Codex agent or selected Gemini, Grok, or Claude Code reviewer, implements fixes, and re-reviews until positive assessment or max rounds reached' — in third person, with no meaningful capability gap.

5 / 5

Completeness

Explicitly answers both what (multi-round review-fix-rereview loop with named reviewer backends) and when ('Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes literal user-sayable phrases ('auto review loop', 'review until it passes') but misses common variations like 'review loop', 'keep reviewing', or 'fix the review comments'.

4 / 5

Distinctiveness Conflict Risk

Quoted triggers carve a clear niche distinct from generic review skills, but 'wants autonomous iterative improvement' is broad enough to overlap with general iteration/improvement skills — minor overlap risk rather than minimal.

4 / 5

Total

18

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (549 lines); consider splitting into references/ and linking

Warning

relative_links

Relative link issues: 6 suspicious

Warning

Total

14

/

16

Passed

Repository

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

Path

skills/skills-codex/auto-review-loop/SKILL.md

Reviewed

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