egm-resolve
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.
How do I install this agent skill?
npx skills add https://github.com/google/elephant-goldfish-model --skill egm-resolveIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill includes security considerations regarding a potential indirect prompt injection surface. While this warrants review, the risk is significantly mitigated by a mandatory human-in-the-loop confirmation gate that requires user approval before any file modifications are executed. See the detailed analysis for additional context.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · 1 issue
What does this agent skill do?
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.
-
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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.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/google/elephant-goldfish-model/egm-resolve">View egm-resolve on skillZs</a>