ase-meta-review
SkillDev toolsPerform a holistic, human-reviewer-style critique of the currently staged Git changes and emit an approve/reject verdict with prioritized, severity-tagged, line-cited findings. Use when the user wants the staged diff "reviewed", "critiqued", or "code-reviewed" before committing.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the ase-meta-review skill
What this skill tells your AI
The instructions your AI receives, as published by rse/ase in plugin/skills/ase-meta-review/SKILL.md and read by ahel’s review.
@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md
$ARGUMENTS
Procedure
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Determine whether there are staged changes at all by running the corresponding command (taken exactly as given) and capturing its output - the bare list of staged file names - into . This is a lightweight gate; the full diff is fetched by the sub-agent in STEP 2, so capturing only the file-name list here is sufficient:
git diff --cached --name-only HEAD
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The project source artifacts are classified as a black box, so the user does not want the staged changes scrutinized or their findings surfaced. Skip the entire review investigation: do not invoke the
Agenttool and do not read any change, set to the empty list, set toSKIPPED (boxing: black), set to a one-line neutral restatement of the change intent derived solely from STEP 1, and proceed directly to STEP 3.First, use the following to give a hint on this step:
Dispatch the review investigation to a sub-agent via the
Agenttool so that no investigation details leak into the user-visible transcript. The sub-agent performs the silent reading, the read-only repository probing, and the critique; only its final structured return value is consumed here.For this, invoke exactly once the tool:
Agent( description: "Review Investigation", subagent_type: "ase:ase-meta-review", prompt: "Review the staged changes.", run_in_background: false )Parse the single result message of the
Agenttool as a JSON object, set to itssummaryfield (a single crisp sentence reconstructing the change's intent), and set to itsfindingsfield (a list).Then derive the overall from : set to
REJECT - DEMANDS CHANGESif any finding in has aseverityfield ofHIGH; otherwise set toAPPROVE. The verdict is derived before the severity floor below, so the floor only affects which findings are rendered, never the verdict.Then determine the effective severity floor : define the ordinal rank
LOW=1,MEDIUM=2,HIGH=3, start from (defaultLOW), and - if is equalgrey- raise toMEDIUMwhenever its current rank is belowrank(MEDIUM)(grey boxing surfaces only material findings of severityMEDIUMand above). The floor affects only which findings are rendered, never the derived above.Then apply the effective severity floor : Keep a finding in if and only if its
severityfield isACCEPTEDorrank(severity)is greater than or equal torank(<floor/>); silently drop all other findings. With the default floorLOW, all findings are kept.ACCEPTEDfindings are never dropped.You MUST NOT output anything else in this STEP 2.
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Use the following to output the overall review in and the reconstructed intent :
REVIEW VERDICT:
CHANGE INTENT:
You MUST NOT output anything else in this STEP 3.1.
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NO FINDINGS: , nothing to flag.
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Then render a three-column table with one row per finding by using the following output . For each finding, repeat the third line, set to its
severityfield, set to itsdimensionfield, set to itslocationfield, and set to itsfindingfield.In the column, mark up the
file:linereference as code (with backticks) and prepend it with▢- keep the sub-agent's own:N/:N-Mline citation intact and do not append any further line-count decoration.Because the text is free-form Markdown, before emitting any row you MUST escape every literal
|pipe character inside and as\|so it cannot break the table column structure.Keep the overall report concise and brief. Do not output any further explanation.
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Finally, give the closing hint by expanding the following (which, depending on the configured , may expand into nothing and hence emit no output at all):
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Signals
- GitHub stars
- 52
- Forks
- 5
- Last commit
- Sep 2026
Advanced
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ase-meta-review- Source
- github.com/rse/ase