Skill: task-postflight — Post-dispatch validation + learning loop

Skill path: ~/.claude/skills/task-postflight/

Description

Closes the loop on H/BLOCKER MC tasks after specialist dispatch. Runs Proveo (Angie Jones) validation against MC acceptance criteria, detects anomalies, invokes /learning-opportunity if anomaly found (root cause + memory entry), and writes mc.js ready submission with evidence path.

Trigger: /task-postflight <mc_id>

Use AFTER: Specialist dispatch completes for any task that went through /prompt-forge or any H/BLOCKER task.

Workflow

Preconditions: Verify MC task exists, status is in_progress, evidence dir exists (or flag MISSING)
Proveo dispatch: Spawn Angie Jones (Proveo) to validate against acceptance criteria
Anomaly detection: Parse Proveo report, classify failure type and severity
Learning-opportunity: Invoke learning loop on PARTIAL/FAIL verdicts (skip if PASS or known issue)
Memory entry: Write feedback file if learning-opportunity returns memory path
MC ready: Submit mc.js ready with evidence summary (or BLOCK on FULL_FAILURE)
Audit trail: Append JSON line to ~/system/postflight-log.jsonl

Proveo Integration

Angie Jones (Proveo) validates against MC acceptance criteria. Expected output:

GLOBAL_VERDICT: PASS | FAIL | PARTIAL
per_criterion: List with verdict (PASS | FAIL | SKIP), evidence path, notes
anomalies: List of issues found (empty if PASS)
evidence_paths: Files verified

Report written to: /tmp/postflight-<mc_id>/proveo-report.md

Anomaly Classification

Verdict	Anomaly Class	Action
PASS (all criteria)	ANOMALY:NONE	Skip to mc.js ready
PASS (some SKIP)	ANOMALY:PARTIAL_COVERAGE	Learning-opportunity (LOW severity)
PARTIAL	ANOMALY:PARTIAL_FAILURE	Learning-opportunity (MEDIUM severity)
FAIL	ANOMALY:FULL_FAILURE	Learning-opportunity (HIGH severity) + BLOCK mc.js ready
Proveo timeout/error	SYNTHESIS:DEGRADED	Inline fallback check + escalate to John

Learning-Opportunity Loop

Invoked when anomaly class is not NONE. Receives:

Proveo report path
Evidence directory
Task context (title, MC ID, specialist)
Forged prompt path (if available)

Expected output:

Failure type (HALLUCINATION / PROCESS_SKIP / WRONG_OUTPUT / KNOWLEDGE_GAP / REPEAT_MISTAKE)
Root cause layer (GOTCHA)
Fix type (Hook / Tool / Rule / CLAUDE.md / Memory)
Memory entry path (if memory fix applied)

Skip learning-opportunity if:

Same anomaly tracked in MEMORY.md within last 7 days
ANOMALY_SEVERITY = LOW and first occurrence
Known flaky test pattern

Cost and Limits

Hard cap: $0.50 per invocation
Typical cost: $0.15 warm cache / $0.40 cold
Breakdown: Proveo dispatch (Sonnet) ~$0.05-0.15 + learning-opportunity ~$0.10-0.25
Timeout: 90 seconds for Proveo report

Failure Modes

Condition	Action
Proveo unavailable	SYNTHESIS:DEGRADED — inline fallback, flag in mc.js notes, escalate
Proveo timeout	Same as unavailable
learning-opportunity fails	Log LEARNING:FAILED, skip memory entry, continue with warning
MEMORY.md write fails	Log error, skip index update, include content inline in mc.js notes
ANOMALY:FULL_FAILURE	Block mc.js ready, write failure-summary.md, report re-dispatch required

Audit Trail

Every invocation appends one JSON line to ~/system/postflight-log.jsonl:

{"mc_id":9959,"timestamp":"2026-04-28T12:12:00Z","proveo_verdict":"PASS","anomaly_class":"NONE","learning_invoked":false,"ready_status":"submitted","cost_estimate":"$0.15"}

Log is lightweight observability — does NOT replace evidence files.

v0.1 Deferred (post-Akershus 2026-05-04)

Telemetry: latency p50/p95 per section
BFPR tracking dashboard: correlate anomaly rate with prompt-forge usage
Automated regression detection: compare to previous same-specialist tasks
Slack alerting on ANOMALY:FULL_FAILURE or SYNTHESIS:DEGRADED
cost-tracker.js integration

References

Local SKILL.md: ~/.claude/skills/task-postflight/SKILL.md
Proveo brief: ~/.claude/skills/task-postflight/references/proveo-brief.md
Learning loop: ~/.claude/skills/task-postflight/references/learning-loop.md
Mirror pattern: ~/.claude/skills/prompt-forge/SKILL.md
Related: ZAKON #25 (john-operating-system.md line 77)

Author: ALAI, 2026

Last updated: 2026-04-28