Refacil:stats

refacil:stats — Change Statistics

This skill is a read-only utility that surfaces observability data for a given change. It is optional — it does not block or affect any existing flow. Run it at any point to understand how a change is progressing or has progressed.

Prerequisites: sdd profile from refacil-prereqs/SKILL.md.

Flow

Step 1: Resolve change name

1. If $ARGUMENTS provides a change name, use it directly.
2. If not, run refacil-sdd-ai sdd list --json and use the single active change if there is only one.

2.5. If sdd list --json returns [] (no active changes), auto-select the most recent archived change:

• Run refacil-sdd-ai sdd list --include-archived --json.
• From the returned array, filter items where archived is true. Sort descending by archivedDate (tiebreak: name descending). Select the first item.
• If an archived change is found: inform the user ("No active changes found — showing stats for most recently archived change: `") and continue to Step 2 with that changeName`.
• If no archived changes exist either: inform the user that there is no change history and stop.

1. If there are multiple active changes and no argument, ask the user to specify the change name. Do not proceed with ambiguous scope.

If the change name is given but not found in the active changes, do not suggest /refacil:propose. Instead:

1. Run refacil-sdd-ai sdd list --include-archived --json to check for archived changes.
2. If archived changes exist, show the list and ask the user to confirm which name they want to query (they may have misspelled or the change was already archived).
3. Only if there are no active and no archived changes should you inform the user that there is no work history for the given name.

Step 2: Run the stats CLI command

Execute:

refacil-sdd-ai sdd stats  --json

If the command exits with code 1 (change not found or invalid name), show the CLI error message. The step 1 fallback (archived lookup) should have already been applied before reaching here, so a code 1 at this point means the name is genuinely absent in both active and archived locations — inform the user and stop.

Step 3: Parse the JSON output

Parse the JSON block returned by the CLI. Expected fields:

{
  "changeName": "",
  "isArchived": true | false,
  "archivedDate": "",
  "startDate": "",
  "memory": {
    "testCommand": "",
    "lastStep": "",
    "criteriaRun": ["CA-01", "CR-01", ...],
    "currentState": "",
    "stateInferred": true | false
  },
  "review": {
    "passed": true | false,
    "verdict": "",
    "date": "",
    "failCount": 
  },
  "compact": {
    "eventsInPeriod": ,
    "rewrites": ,
    "estimatedTokensSavedByRewrites": ,
    "alreadyCompact": ,
    "estimatedTokensSavedAlreadyCompact": 
  },
  "codegraph": {
    "eventsInPeriod": ,
    "totalToolCalls": ,
    "estimatedTokensSaved": 
  }
}

If any field is null or 0, treat it as "no data" — do not error.

Step 4: Show numbers (structured display)

Present the data in a readable format. If isArchived is true, add [archivado el ] to the header:

=== Stats:  [archivado el ] ===   ← only when isArchived: true
=== Stats:  ===                                 ← when isArchived: false

Phase progress
  Started:    
  Current state:  
  Last step:  
  Criteria:   

Review
  Passed:     
  Verdict:    
  Date:       
  Fail count: 

Token savings (change period)
  Compact rewrites:        events — ~ tokens saved
  Already compact:         events — ~ tokens (skill discipline)
  CodeGraph tool calls:    — ~ tokens saved

Step 5: Narrative interpretation (anomaly detection)

After the numbers, add a brief narrative. Apply these heuristics:

Anomalous passes: if review.passed is true but memory.criteriaRun is empty or memory.lastStep is apply (no test phase recorded) — flag this:

Note: the change was reviewed but no test phase is recorded in memory. Recommend running /refacil:test before archiving.

Token concentration: if compact.estimatedTokensSavedByRewrites is 0 and codegraph.estimatedTokensSaved is also 0 — flag this:

Note: no token savings recorded for this change. Compact and CodeGraph telemetry may not be active.

Comparison with previous changes (optional — only if data exists):

• Read all other change directories under refacil-sdd/changes/ that have memory.yaml.
• If at least 2 other changes have criteriaRun data, compute the average criteria count and compare:

`` This change ran criteria vs. an average of in previous changes. ``

• If no other changes have sufficient data, skip this comparison silently.

No anomalies: if none of the above apply, show:

No anomalies detected. The change looks healthy.

Step 6: Next step (optional)

Skip this step entirely if isArchived === true — archived changes have no actionable next steps.

If memory.lastStep is apply (no test yet):

Recommended next step: /refacil:test

If memory.lastStep is test and review.passed is false:

Recommended next step: /refacil:verify

If review.passed is true:

The change is reviewed. Next step: /refacil:archive (if all tasks are done).

Rules

• This skill is read-only — it does not modify any file, branch, or memory.
• Does not block any flow — absence of stats data is reported as zeros, not as an error.
• Non-existent change: exit with code 1 and a clear message (CA-12).
• Missing data fields: treat as zero or null — never throw; degrade gracefully.
• Comparison with previous changes is optional — only if data exists. Never block on its absence.
• This skill does not call any sub-agent — it is a direct CLI wrapper with narrative.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Erikole21
• Source: Erikole21/refacil-sdd-ai
• License: MIT

Install and usage instructions live in the source repository linked above.