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Audit milestone

Skill mattjaikaran/meridian/skills/audit-milestone

Skill that gives AI coding agents persistent memory and quality enforcementFrom the repository description

Install
npx -y skills add mattjaikaran/meridian --skill audit-milestone

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 2 commands, including `MERIDIAN_HOME="${MERIDIAN_HOME:-.}" PYTHONPATH="$MERIDIAN_HOME" uv run --project "$MERIDIAN_HOME" python -c " import json from scripts.db import connect, get_db_path from scripts.state import get_stat` and 1 more.

SKILL.md

2.7 KB, 767 tokens by cl100k_base, as published. Nobody here has run it

/meridian:audit-milestone — Audit Milestone Readiness

Check whether the active milestone is ready to complete.

Verifies:

  • All phases are in complete status
  • No plans are failed or skipped
  • No outstanding UAT verification debt in .planning/phases/
  • No stub/placeholder code in scripts/

Prerequisites

  • MERIDIAN_HOME set to the repo root (default: current directory)
  • uv installed and project dependencies synced

Arguments

  • --no-uat — Skip UAT debt check
  • --no-stubs — Skip stub detection
  • --json — Output raw JSON

Procedure

Step 1: Identify active milestone

MERIDIAN_HOME="${MERIDIAN_HOME:-.}"
PYTHONPATH="$MERIDIAN_HOME" uv run --project "$MERIDIAN_HOME" python -c "
import json
from scripts.db import connect, get_db_path
from scripts.state import get_status
conn = connect(get_db_path('.'))
status = get_status(conn)
ms = status.get('active_milestone')
if not ms:
    print('ERROR: no active milestone')
else:
    print(json.dumps({'id': ms['id'], 'name': ms['name']}, indent=2))
conn.close()
"

Save the milestone id as MILESTONE_ID.

Step 2: Run audit

PYTHONPATH="$MERIDIAN_HOME" uv run --project "$MERIDIAN_HOME" python -c "
import json
from pathlib import Path
from scripts.db import connect, get_db_path
from scripts.milestone_lifecycle import audit_milestone
conn = connect(get_db_path('.'))
result = audit_milestone(
    conn,
    '$MILESTONE_ID',
    repo_path=Path('.'),
    planning_dir=Path('.planning'),
)
print(json.dumps(result, indent=2, default=str))
conn.close()
"

Step 3: Interpret results

If ready is true:

✓ Milestone is ready to complete.
  Phases:  {stats.complete_phases}/{stats.total_phases}
  Plans:   {stats.complete_plans}/{stats.total_plans}
  UAT debt: {stats.uat_issues} items
  Stubs:   {stats.stub_issues} items
→ Run /meridian:complete-milestone to proceed.

If ready is false:

✗ Milestone NOT ready. Issues found:
  {list each issue from result["issues"]}
→ Resolve all issues before completing.

Output Format

# Milestone Audit — {milestone_name}

Status: READY / NOT READY

## Phase Status
  ✓ {phase_name} — complete ({n}/{n} plans)
  ✗ {phase_name} — executing (incomplete)

## Checks
  Phases complete:   {n}/{n}
  Plans complete:    {n}/{n}
  Failed plans:      {n}
  UAT debt items:    {n}
  Stub findings:     {n}

## Issues
  - {issue description}

Notes for non-Claude LLMs

  • All bash blocks are self-contained and can be run verbatim
  • Replace $MILESTONE_ID with the actual ID string from Step 1
  • If uv is unavailable, use python -m with a virtualenv that has the project deps installed
  • The check_uat and check_stubs flags accept Python booleans: True / False

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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