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consult-codex

Dual-AI code analysis pairing OpenAI Codex with Claude code-searcher — the lightest consult variant, two citation-verified perspectives. Use for a quick second opinion on a code question.

63

Quality

79%

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High

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tessl review fix ./.claude/skills/consult-codex/SKILL.md
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.

An unusually rigorous operational skill: fully executable commands, explicit fail-fast validation, timeout watchdogs, and degraded-mode fallbacks make it highly actionable with a clear, checkpointed workflow. Its weaknesses are verbosity from inline bug-history narratives and a monolithic single-file layout where the jq recipes and dispatch hardening belong in reference files.

Suggestions

Move the §2a jq recipe catalog into a references/codex-json-parsing.md file and keep a one-line pointer plus the two most-used recipes in SKILL.md, cutting roughly a quarter of the body.

Strip changelog-style narratives and inline dates ("advertised GPT-5.6-terra in seven places… corrected 2026-08-01", "reported live 2026-08-01", "prior bug: probe accepted bash…") down to the operative rule they motivated — or collect them in a short 'Prior pitfalls' appendix.

Delete filler sentences that add no instruction, e.g. "This parallel execution significantly improves response time".

DimensionReasoningScore

Conciseness

The body is dense with genuinely non-obvious operational hardening Claude would not know (sandbox flags, stdin-pipe rationale, nvm symlink traps), so it is mostly efficient — but it is padded with changelog-style narratives ("this skill advertised GPT-5.6-terra in seven places… corrected 2026-08-01", "reported live 2026-08-01", "prior bug: probe accepted bash, dispatch hardcoded zsh") and filler like "This parallel execution significantly improves response time". Time-sensitive dates are inline, not in an old-patterns section, which the guidelines penalize. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened' (3) — not 2, since it never explains concepts Claude already knows and most rationale is operational, not padding.

3 / 5

Actionability

Every step ships copy-paste-ready commands: exact pre-flight bash with fail-fast guards, concrete jq recipes for each parse need, literal dispatch forms per CODEX_BIN outcome, and a mandatory report template. Substitutions (RUN_ID, PROJECT_DIR, INTERACTIVE_SHELL) are explicitly specified with generation examples, matching 'fully executable; copy-paste ready code or commands; specific examples cover the common cases'.

5 / 5

Workflow Clarity

The sequence is explicit and numbered (build prompt → setup → two-phase dispatch → parse → cleanup → error handling → comparison), with fail-fast validation up front (PROJECT_DIR existence, jq hard-dependency abort, codex binary probe, timeout probe), mid-run guards (empty-output parse guard, exit-code 124/137 timeout handling, minimum-agent re-count), and explicit recovery paths (degraded single-AI run labeling, SKIP branch). This matches 'clear sequence with explicit validation steps; feedback loops for error recovery'.

5 / 5

Progressive Disclosure

There are no bundle files (references/, scripts/, assets/ are absent), so everything — including the ~90-line jq recipe catalog (§2a) and the Codex binary resilience block — is inlined in a single ~390-line file. Section headers are clear, but reference material that clearly belongs in a separate file is inline, matching 'some structure but could be better organized; content that should be separate is inline' (3). The only cross-reference is to a sibling skill ("consult-panel §1d"), which is not a navigable bundle path, so this cannot reach 4.

3 / 5

Total

16

/

20

Passed

Description

70%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 solid, third-person description with an explicit 'Use when' clause, concrete tool names, and natural trigger phrasing. Its main defects are the "citation-verified" over-claim contradicted by the skill body, and a thin, single-trigger when-clause.

Suggestions

Replace the over-claim "two citation-verified perspectives" with accurate wording like "two independently cited perspectives" — the body explicitly notes there is no citation-verification stage.

Broaden the when-clause with additional concrete triggers users would naturally say, e.g. "Use for a quick second opinion, cross-check, or code review on a code question".

State one or two more concrete actions (e.g., 'compares findings in a corroboration table') so the what-clause lists several specific capabilities rather than one pairing mechanism.

DimensionReasoningScore

Specificity

"Dual-AI code analysis pairing OpenAI Codex with Claude code-searcher" names the domain and a concrete mechanism, but coverage of actions is thin, and "two citation-verified perspectives" over-claims — the body itself states this dual "has no citation-verification stage, so it is agreement, not verified correctness". It sits between the '1-2 concrete actions' anchor (3) and 'several specific actions' (4); the over-claim and narrow action list pull it to 3.

3 / 5

Completeness

Both what ("Dual-AI code analysis pairing OpenAI Codex with Claude code-searcher… two citation-verified perspectives") and when ("Use for a quick second opinion on a code question") are explicitly present. The when-clause is explicit but narrow — a single trigger phrase — so it fits 'both what and when; when could be more explicit or specific' (4) rather than the clear multi-trigger phrasing of the 5 anchor.

4 / 5

Trigger Term Quality

Natural phrases a user would say are present — "quick second opinion", "code question", "code analysis", plus the tool names "Codex" and "code-searcher". A few common variations are missing (e.g., "code review", "debugging", "cross-check my analysis"), which matches the 'good keyword coverage; a few natural terms missing' anchor (4) rather than comprehensive synonym coverage (5) or partial coverage (3).

4 / 5

Distinctiveness Conflict Risk

Naming both concrete tools ("OpenAI Codex", "Claude code-searcher") carves a distinct niche unlikely to fire for unrelated skills. "the lightest consult variant" implies sibling consult skills with which it shares the analysis/second-opinion trigger space, matching 'mostly distinct; minor overlap risk with closely related skills' (4) rather than the minimal-conflict 5 anchor.

4 / 5

Total

15

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
centminmod/my-claude-code-setup
Reviewed

Table of Contents

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