egm-resolve
Skill8.1k starsChanged 4 days agoApache-2.0View on GitHub
The Elephant resolution skill. Ingests flat deficiency reports from concurrent Goldfish reviewers, applies automated fixes for PROPOSE FIX items via UI multiple-choice gates, and presents interactive negotiation/re-sync checkpoints.
We split this skill into the rules it gives an agent
14 rules. About 0 are common, 6 are distinctive, and 8 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
When running in Codex or ChatGPT Work, first read Codex integration.
- Very specific: line 52
Read TargetFile at LineRange by reading it and parse the FindingsList.
- Distinctive: line 72
If you cannot cite evidence the reviewer could read, use ESCALATE or PROPOSE FIX.
- Distinctive: line 74
Do not add context only to satisfy a reviewer: Add context when a human reader of the document needs it.
- Distinctive: line 77
Do not contest a comprehension gap: If a fresh reader could not follow the document, the document is missing context.
- Distinctive: line 79
Do not change a severity: If you think a Blocker is a Nit, CONTEST it and state the reason.
- Very specific: line 112
If any finding is ESCALATE, list those findings first in the chat message.
- Very specific: line 115
Before proceeding, output a visible chat message to the user: *"I have compiled the audit findings into goldfish_review_report.md.
- Distinctive: line 143
"Continue to next phase" / "No changes": Do not apply any automated fixes.
- Very specific: line 163
If PROPOSE FIX: Ask the user to reply with Accept proposed fix, Skip / ignore, or Discuss.
- Very specific: line 165
If CONTEST: Ask the user to reply with Skip / agree with contest, Overrule contest (propose fix), or Discuss.
- Very specific: line 167
If ESCALATE: Ask the user to reply with Confirm (no change),
- Distinctive: line 177
Custom instruction / Out-of-band edit: If the user provides targeted instructions, apply them and proceed.
- Very specific: line 182
Re-verify Lines: If changes were made to TargetFile, verify that the file remains structurally coherent and valid markdown.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Goldfish Review: Resolve
When running in Codex or ChatGPT Work, first read Codex integration.
In Claude Code or Cowork, read ${CLAUDE_PLUGIN_ROOT}/docs/claude.md first.
Overview
This skill instructs the agent on how to operate within the primary Elephant context window to parse flat deficiency reports from concurrent Goldfish reviewers. It defends accurate design choices, applies automated textual repairs, and manages interactive negotiation checkpoints.
Prerequisites & Context Strategy
- Context Recommendation (Elephant Memory): This skill should be run in the persistent conversation session that generated the target document (the Elephant) to recall earlier reasoning and craft higher-quality fixes.
Inputs
The caller or orchestration driver provides exactly these parameters:
TargetFile: Absolute or relative path to target document.LineRange: Exact line numbers (orfull file).FindingsList: Aggregated flat list of findings from Goldfish reviewers.
Execution Workflow
Step 1: Intake Validation & Gather Context
Hybrid Execution UX: Detect if execution arguments are present:
- Automated Mode: If all parameters are provided, execute silently as a subprocess.
- Standalone Human Mode: If parameters are omitted, trigger a friendly onboarding flow. Prompt for one piece of input at a time, waiting for the user's response after each turn. Once all inputs are specified, display the final setup and verify the user is ready to continue.
- Read
TargetFileatLineRangeby reading it and parse theFindingsList.
Step 2: Evaluate & Categorize
Give each finding exactly one category:
- CONTEST: The critique is inaccurate or relies on a misunderstanding of the codebase. Cite evidence that the reviewer could read: a file and symbol, or a decision recorded in the document.
- ESCALATE: The critique is inaccurate, but the evidence is outside every file the reviewer could read (for example, a team convention or a verbal decision). State that fact. Do not fix the finding. Give it to the user.
- PROPOSE FIX: The critique is valid. Define precise textual replacements or structural formatting adjustments to resolve the gap.
- DECLINE: The finding is a Nit. Record it. Do not fix it. You can use PROPOSE FIX for a Nit if the fix is worth it.
Apply these rules:
- A contest must be checkable. "This was intentional" is not evidence. If you cannot cite evidence the reviewer could read, use ESCALATE or PROPOSE FIX.
- Do not add context only to satisfy a reviewer. Add context when a human reader of the document needs it. If only a zero-context subagent needs it, use ESCALATE.
- Do not contest a comprehension gap. If a fresh reader could not follow the document, the document is missing context.
- Do not change a severity. If you think a Blocker is a Nit, CONTEST it and state the reason.
- You wrote the document under review. A wish to contest is not evidence that the reviewer is wrong.
Step 3: Report Fixes
Construct the final report and save it named
goldfish_review_report.md in the working directory (or your harness's artifact directory, if it has one)
using your file-writing tool. Use this layout:
# Goldfish Annotated Review Report
**Target:** `[TargetFile]` (`[LineRange]`)
## Prioritized Findings & AI Suggestions
{{range findings, ordered by Severity}}
### [Issue 1] [`[ReviewerPersona]`] - Severity: [High | Medium | Low]
* **Affected Scope:** [Lines Start-End]([RelativePath]#L[Start]-L[End]) ([Sub-header])
* **Discrepancy Description:** [copied from FindingsList]
* **Rationale:** [copied from FindingsList]
* ***AI Suggestion:*** [CONTEST | ESCALATE | PROPOSE FIX | DECLINE]
* ***Justification:*** [Detailed reason]
* ***Proposed Edit:***
* Location: [Line/Header]
* Change: [Precise replacement string or deletion note]
{{end}}Step 4: Interactive Resolution Gate
If any finding is ESCALATE, list those findings first in the chat message.
They need the user's knowledge, not only approval.
Before proceeding, output a visible chat message to the user: *"I have compiled
the audit findings into goldfish_review_report.md. Please review the findings there and choose how you would like to
proceed:
- Comment directly on the file: Review
goldfish_review_report.mdin chat or the file and leave comments/edits to approve, reject, or contest specific items. - Auto accept: Reply "auto accept" to batch-apply all proposed fixes (skipping contested items).
- Continue to next phase: Reply "continue" or "no changes" to proceed without applying fixes.
- Interactive breakdown: Reply "interactive breakdown" for a guided, item-by-item walkthrough in chat with detailed explanations for each proposed edit or contested finding before making decisions.
- Custom instruction / Wildcard request: Reply with any custom instruction, question, or out-of-band request."*
You MUST immediately yield active execution by calling zero tools in this turn payload. You must stop execution and go idle, waiting for the human developer to comment on/edit the artifact or reply in the chat.
Interpret the user's action/response as follows:
- "Auto accept" / "Accept all suggestions" / User clicks "Proceed" without
contesting: Apply all fixes where the AI suggestion was
PROPOSE FIXdirectly toTargetFileatLineRangein a single batch using your file-editing tool. Any items categorized asCONTEST,ESCALATE, orDECLINEare explicitly bypassed. Then proceed to Step 5. - "Continue to next phase" / "No changes": Do not apply any automated fixes. Then proceed to Step 5.
"Interactive breakdown": Enter a sequential breakdown loop over ALL finding items (all categories except
DECLINE):For each item
i, output a visible chat message formatting the full finding details and explanation in rich markdown:### Breakdown Item [i]: [Issue Title] [`[ReviewerPersona]`] * **Scope:** [Lines Start-End]([RelativePath]#L[Start]-L[End]) ([Sub-header]) * **Description:** [Description] * **AI Suggestion:** [CONTEST | ESCALATE | PROPOSE FIX] * **Explanation & Justification:** [Detailed reason and background explaining why the fix is proposed or why the finding is contested] * **Proposed Edit:** [Precise replacement text or deletion note]Then prompt the user in chat for their decision on this item (calling zero tools and going idle):
- If
PROPOSE FIX: Ask the user to reply with Accept proposed fix, Skip / ignore, or Discuss. - If
CONTEST: Ask the user to reply with Skip / agree with contest, Overrule contest (propose fix), or Discuss. - If
ESCALATE: Ask the user to reply with Confirm (no change), Add the fact to the document, or Discuss.
- If
- Record the user's decisions in an internal memory checklist (e.g., Item 1: Accepted, Item 2: Ignored, Item 3: Overruled). Do NOT call any file editing tools during this sequential loop.
- Once all items have been decided, summarize the accepted edits, execute them using your file-editing tool, and proceed to Step 5.
- Custom instruction / Out-of-band edit: If the user provides targeted instructions, apply them and proceed.
Step 5: Post-Resolution Synchronization & Exit
- Re-verify Lines: If changes were made to
TargetFile, verify that the file remains structurally coherent and valid markdown. - Mark the report as resolved (add a
Status: resolvedline at the top). - Handoff: Exit cleanly back to the caller (such as
egm-review-loop) with the count of accepted fixes, contested items, escalated items, declined items, and remaining unaddressed issues.
In this repository16 other files it gives its agents.
- AGENTS.mdAGENTS.md
- distributions/claude/docs/claude.mdCLAUDE.md
- docs/claude.mdCLAUDE.md
- egm-bootstrapSkill
- egm-brainstormSkill
- egm-draftSkill
- egm-drift-reportSkill
- egm-resolveSkill
- egm-review-loopSkill
- egm-reviewSkill
- egm-bootstrapSkill
- egm-brainstormSkill
- egm-draftSkill
- egm-drift-reportSkill
- egm-review-loopSkill
- egm-reviewSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
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Now do this for your own.
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