merge-agent
Deduplicate review-wave findings, auto-fix Minor issues, set block_push on Critical findings, and surface Important findings to HITL.
Skill by caiobellizzi
Chalk Labs
Need help deploying merge-agent?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/caiobellizzi-merge-agent
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/merge-agent
What's inside
- Skill name
merge-agent- Description
- Deduplicate review-wave findings, auto-fix Minor issues, set block_push on Critical findings, and surface Important findings to HITL.
- License
- MIT
- Instructions
- 109 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Merge Agent
Aggregates all WaveReport findings from the review wave, deduplicates by `(file, line)`, applies safe auto-fixes for Minor severity items, and produces the final merge decision. Dispatched as an isolated AgentTool invocation (D-04) with a fresh context window — operates in its own git worktree (B5) for auto-fix writes. This is the only reviewer with write access to a worktree.
## Discipline
Act as the final merge gate. Consolidate findings, auto-fix only what is unambiguously safe, and block the push on any Critical finding.
**Auto-fix scope (D-13) — ONLY these categories are ever auto-fixed:**
- Trailing whitespace and blank-line formatting (mechanical, zero semantic risk).
- Import ordering (isort / ruff `--fix` equivalent — alphabetical within groups).
- Lint rule violations with a deterministic autofix (e.g., unused variable removal flagged by a linter with a known safe fix).
- Missing docstring stubs on new functions (insert `"""TODO: document."""` — never fabricated content).
- Obvious typos in string literals that appear in both the finding `problem` and `required_fix` fields.
**NEVER auto-fix (D-13 hard prohibitions):**
- Logic changes of any kind — including "obviously correct" refactors.
- Security fixes — hardcoded secret removal, auth logic, input validation.
- Public API signatures — function names, parameter lists, return types.
- Behavioral changes — anything that alters observable output, error handling, or control flow.
- Anything where the `required_fix` field is ambiguous or requires judgment.
When in doubt, escalate to HITL. Never auto-fix ambiguous items.
**Severity → action map (D-15):**
- `Critical`: hard-block the push. Set `block_push: true`. Require human approval at HITL gate.
- `Important`: non-blocking. Surface to HITL approval summary. Write finding to brain note via `brain_http.py`. Push may proceed on owner approval.
- `Minor`: auto-fix (within auto-fix scope above) or note. Never blocks.
**Dedup rule (D-16):** findings for the same `(file, line)` from multiple reviewers collapse to one entry. Highest severity wins. `required_fix` hints are merged (concatenated with ` | `).
Never do:
- Never write to the diff directly — write only to the isolated merge-agent worktree.
- Never approve a push when `block_push: true`.
- Never auto-fix a `Critical` or `Important` finding.
- Never apply an auto-fix without re-running the build/test gate (D-14). If build/test fails after auto-fix, escalate to coder retry or HITL.
Exhaustion behavior (D-09): merge-agent uses the reviewer-model primary. Budget exhaustion escalates to HITL — the merge decision is too important to skip.
## Behavior
1. Parse `--query` JSON: `{task_id, wave_reports: [WaveReport, ...], diff, context}`.
2. Flatten all findings from all `wave_reports` into a single list.
3. Deduplicate by `(file, line)`: for collisions, keep highest severity; merge `required_fix` hints.
4. For each `Minor` finding: attempt auto-fix (within scope above). Apply to merge-agent worktree only.
5. Re-run build/test gate after all Minor auto-fixes (D-14). If build/test fails → set the finding back to `Important` and surface to HITL.
6. Set `block_push: true` if any `Critical` finding remains after dedup.
7. Collect `Important` findings for HITL summary; write each as a brain note via `brain_http.call_agent("ingest", ...)`.
8. Emit the Output Schema JSON to stdout.
## Output Schema
Emit exactly this JSON object to stdout (no surrounding text):
```json
{
"role": "merge-agent",
"block_push": false,
"findings": [
{
"file": "path/or/*",
"line": 42,
"problem": "string — deduplicated finding",
"required_fix": "string — merged fix hints",
"severity": "Critical",
"sources": ["correctness-reviewer", "security-reviewer"]
}
],
"auto_fixed": [
{
"file": "path/or/*",
"line": 42,
"description": "string — what was auto-fixed",
"fix_type": "import-order"
}
],
"hitl_summary": "string — plain text summary of Important findings for owner",
"tokens_used": 0,
"cost_cents": 0
}
```
Fields:
- `role`: always `"merge-agent"`.
- `block_push`: `true` if any Critical finding remains; `false` otherwise.
- `findings`: deduplicated list of remaining findings (Critical + Important); empty if none.
- `auto_fixed`: list of Minor items that were successfully auto-fixed.
- `hitl_summary`: plain text summary of Important findings for the HITL approval gate; empty string if no Important findings.
- `sources`: list of reviewer roles that cited this `(file, line)` finding.
- `severity`: one of `"Critical"`, `"Important"`, `"Minor"`.
- `tokens_used`: integer — total tokens consumed by this invocation.
- `cost_cents`: integer — cost in USD-equivalent cents.
## Dry-run Behavior
If `--dry-run` appears in the trigger, emit the following hardcoded example and stop:
```json
{"role": "merge-agent", "block_push": false, "findings": [], "auto_fixed": [], "hitl_summary": "", "tokens_used": 0, "cost_cents": 0}
```
## Using Pre-Injected Brain Context
When the `context` field contains a `## Brain: Repo Digest` block:
- Extract the relevant sections and apply them as constraints on your output
- DO NOT make a separate brain-query call — the digest is already pre-injected
- If a section is absent from the context, proceed without it (fail-open)From caiobellizzi/ultra-workshop, MIT.
More from caiobellizzi/ultra-workshop
- 0.474score
knowledge
caiobellizzi
Intelligent knowledge lookup using curated sources before any web search.
SkillCFreshness: CClaude Code +9 - 0.474score
commit
caiobellizzi
Commit and push git changes.
SkillCFreshness: CClaude Code +9 - 0.471score
brain-query
caiobellizzi
Query the vault: answer a question using Brain's knowledge base.
SkillCFreshness: CClaude Code +9 - 0.471score
coder-specialist
caiobellizzi
Clone the selected active repo, run aider_runner.py to implement a Plan, return Diff JSON with workspace_dir.
SkillCFreshness: CClaude Code +9 - 0.471score
pr-opener
caiobellizzi
Post-approval: git push + gh pr create + ADR write-back via workshop_push.py.
SkillCFreshness: CClaude Code +9 - 0.471score
aider
caiobellizzi
Run Aider coder on a task.
SkillCFreshness: CClaude Code +9 - 0.471score
brain-ingest
caiobellizzi
Ingest content into the vault via Brain.
SkillCFreshness: CClaude Code +9 - 0.471score
brain-research
caiobellizzi
Run a multi-step research task via Brain.
SkillCFreshness: CClaude Code +9 - 0.471score
brainstorm-specialist
caiobellizzi
Socratic conception loop before pipeline triage — explores problem space and produces a scoped goal statement on owner approval
SkillCFreshness: CClaude Code +9 - 0.471score
config-reviewer
caiobellizzi
Review deploy/env/config diffs for hardcoded secrets, missing env vars, and deployment correctness (deploy/env/secrets/config paths only).
SkillCFreshness: CClaude Code +9 - 0.471score
docs-reviewer
caiobellizzi
Review documentation diffs for docstring accuracy, README consistency, and stale examples (.md/.rst and docstring changes only).
SkillCFreshness: CClaude Code +9 - 0.469score
qa-reviewer
caiobellizzi
Review test diffs for branch coverage, edge cases, assertion quality, and mock hygiene (test/spec paths only).
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 31, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/caiobellizzi/ultra-workshop
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from caiobellizzi
- 0.474score
commit
caiobellizzi
Commit and push git changes.
SkillCFreshness: CClaude Code +9 - 0.474score
knowledge
caiobellizzi
Intelligent knowledge lookup using curated sources before any web search.
SkillCFreshness: CClaude Code +9 - 0.471score
brain-query
caiobellizzi
Query the vault: answer a question using Brain's knowledge base.
SkillCFreshness: CClaude Code +9 - 0.471score
coder-specialist
caiobellizzi
Clone the selected active repo, run aider_runner.py to implement a Plan, return Diff JSON with workspace_dir.
SkillCFreshness: CClaude Code +9 - 0.471score
pr-opener
caiobellizzi
Post-approval: git push + gh pr create + ADR write-back via workshop_push.py.
SkillCFreshness: CClaude Code +9 - 0.471score
aider
caiobellizzi
Run Aider coder on a task.
SkillCFreshness: CClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get merge-agent running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
merge-agent skill. Agent Mart. https://agentmart.dev/skills/caiobellizzi-merge-agent (last updated 2026-10-24)