artifact-integrator

安装量: 51
排名: #14499

安装

npx skills add https://github.com/oimiragieo/agent-studio --skill artifact-integrator
Artifact Integrator
Purpose
Analyze newly created or modified artifacts for integration gaps and propose follow-up tasks to ensure full ecosystem integration.
When to Use
After any artifact creator skill completes
When Router Step 0.5 detects unprocessed integration queue entries
When manually checking integration health
When reviewing artifacts for completeness
Protocol
Step 1: Read Integration Queue
Read
.claude/context/runtime/integration-queue.jsonl
Filter for entries with
"processed": false
If no unprocessed entries, check if
artifactId
argument was provided for direct analysis.
Step 2: Analyze Each Artifact
For each unprocessed entry (or the directly specified artifact):
Load the artifact graph:
require('.claude/lib/workflow/artifact-graph.cjs')
Load impact analyzer:
require('.claude/lib/workflow/integration-impact.cjs')
Call
analyzeImpact({ artifactId, changeType, graphPath })
Review the
missingIntegrations
and
proposedTasks
Step 3: Generate Integration Plan
For each artifact with missing integrations:
Must-Have (P1) — Create tasks immediately:
Missing catalog entry → TaskCreate: "Add {name} to {catalog}"
Missing agent assignment → TaskCreate: "Assign {name} to relevant agent"
Missing routing entry → TaskCreate: "Update routing for {name}"
Missing hook registration → TaskCreate: "Register {name} in settings.json"
Should-Have (P2) — Create tasks with lower priority:
Missing documentation → TaskCreate: "Document {name} in {doc}"
Missing enforcement hook → TaskCreate: "Create enforcement for {name}"
Missing tests → TaskCreate: "Write tests for {name}"
Nice-to-Have — Note but don't create tasks:
Missing templates, optional docs
Step 3.1: Companion Matrix Analysis (Interwoven Creator Ecosystem)
For each artifact analyzed, run companion matrix validation to identify missing ecosystem companions:
Analysis:
Use
companion-check.cjs
from
.claude/lib/creators/companion-check.cjs
Call
checkCompanions(artifactType, artifactName)
to get companion matrix
Parse the companion checklist into categories:
Required companions
(must-have for artifact completeness)
Recommended companions
(should-have for best practices)
Optional companions
(nice-to-have for full integration)
Task Generation:
For each
missing required companion
→ Create P1 task: "Create {companion-type}:{companion-name} for {artifact-name}"
For each
missing recommended companion
→ Create P2 task: "Consider creating {companion-type}:{companion-name} for {artifact-name}"
For
missing optional companions
→ Note in report but don't create tasks
Safety Limits (SEC-ICE-002):
Max auto-spawned tasks per artifact
3 (prevent cascade creation)
Max total companion tasks per integration run
10 (prevent batch explosion) If limits exceeded, queue remaining companions for manual review with warning in report Example:

Companion Matrix Analysis: skill:rate-limiter ** Required Companions (MISSING): ** - [ ] hook:rate-limit-validator (validates rate limit headers) — ** TASK CREATED ** (P1) - [ ] schema:rate-limit-config (validates configuration) — ** TASK CREATED ** (P1) ** Recommended Companions (MISSING): ** - [ ] template:rate-limit-pattern (template for rate limiting implementations) — ** TASK CREATED ** (P2) ** Optional Companions (MISSING): ** - [ ] workflow:rate-limit-setup (onboarding workflow) — noted for future consideration ** Safety Check: ** - Auto-spawned tasks: 3 (within limit of 3 per artifact) - Total companion tasks this run: 8 (within limit of 10) Integration with Companion Check: Companion matrix data sourced from ecosystem-impact-graph.json Uses same companion-check.cjs library invoked by creator skills at Step 0.5 Ensures bidirectional consistency: creators check companions at creation, integrator validates companions post-creation Step 3.5: Backward Propagation Processing (ADR-100 Phase 3.1-3.3) When processing backward propagation signals from code-reviewer or architect: Detection: Queue entries with changeType: "backward-propagation" Review findings containing BACKWARD_PROPAGATION section Pattern reports indicating systemic duplication Validation: Verify the pattern exists (check mentioned files/components) Read each affected file to confirm pattern duplication Count actual instances (not just claimed instances) Validate pattern similarity (not just superficially similar) Assess if a new artifact is warranted Threshold: >= 3 instances of identical or near-identical pattern Impact: Would artifact reduce duplication by 50%+ LOC? Maintenance: Would centralization improve maintainability? If warranted, queue for creation: Write entry to integration-queue.jsonl with changeType: "backward-propagation" Set proposedArtifact field with type and suggested name Set priority based on impact: P1 (3-5 instances, security/critical patterns) P2 (6+ instances, quality/consistency patterns) Include validation evidence (file paths, LOC counts, pattern excerpts) Report back in integration analysis report:

Backward Propagation Analysis
**
Pattern
**
:
<
validated
pattern
description
>
**
Instances Found
**
:
<
actual
count
>
(claimed:
<
original
count
>
)
**
Proposed Artifact
**
:
<
type
>
:
<
name
>
**
Justification
**
:
<
why
centralization
is
beneficial
>
**
Priority
**
P1 | P2
**
Next Steps
**
Queued for creator skill invocation Example Queue Entry: { "artifactId": "hook:jwt-validation", "changeType": "backward-propagation", "timestamp": "2026-02-08T10:30:00Z", "processed": false, "source": "code-reviewer", "pattern": "Manual JWT validation logic duplicated in 4 route handlers", "affectedFiles": [ "routes/auth.ts", "routes/api.ts", "routes/admin.ts", "routes/user.ts" ], "validatedInstances": 4, "estimatedLOCReduction": 120, "priority": "P1", "proposedArtifact": { "type": "hook", "name": "jwt-validation", "rationale": "Centralize JWT validation for consistent security enforcement" } } Rejection Criteria: Pattern found in < 3 files (insufficient duplication) Pattern variations are too different (not truly duplicated) Existing artifact already handles this pattern (orphaned/underutilized) LOC reduction < 30 lines (insufficient benefit) Integration with Creator Skills: Validated backward propagation entries trigger creator skill invocation Creator skills (skill-creator, hook-creator, template-creator, schema-creator) consume queue entries After creation, artifact-integrator processes the newly created artifact for standard integrations Step 4: Update Graph After creating integration tasks: Add edges for newly discovered relationships Update node integrationStatus based on current state Save the graph Step 5: Mark Queue Entries Processed For each processed entry, update the JSONL to mark processed: true Step 6: Report Output a summary:

Integration Analysis Report

Processed: {count} artifacts Tasks created: {count} Must-have gaps: {count} Should-have gaps: {count}

Details

[artifact-by-artifact breakdown] Arguments artifactId (optional) — Analyze a specific artifact instead of queue mode (optional) — 'queue' (default) | 'single' | 'health-check' Integration Rules by Artifact Type Type Must-Have Should-Have Skill Catalog + agent assignment Hook, workflow ref Agent Registry + routing keywords Skills, model config Hook settings.json registration Docs entry Workflow Registry + agent mapping Docs entry Template Catalog entry Consumer ref Schema Catalog entry Consumer wiring Example Usage Skill ( { skill : 'artifact-integrator' } ) ; // Processes queue, creates tasks, updates graph Skill ( { skill : 'artifact-integrator' , args : 'skill:rate-limiter' } ) ; // Analyzes specific artifact Implementation Reference Core Libraries: .claude/lib/workflow/integration-impact.cjs - Impact analysis and task generation .claude/lib/workflow/artifact-graph.cjs - Graph CRUD operations Data Sources: .claude/context/runtime/integration-queue.jsonl - Queue of artifacts needing integration .claude/context/data/artifact-graph.json - Artifact relationship graph Integration Queue Format: {"artifactId":"skill:rate-limiter","changeType":"created","timestamp":"2026-02-07T10:30:00Z","processed":false} {"artifactId":"agent:security-architect","changeType":"updated","timestamp":"2026-02-07T10:35:00Z","processed":false} Workflow Integration This skill is invoked by: Router Step 0.5 (automatic when queue entries exist) Creator skills (after artifact creation) Manual health checks Auto-invoke pattern: // Router Step 0.5 pseudocode if ( integrationQueueHasUnprocessedEntries ( ) ) { Task ( { task_id : 'task-1' , subagent_type : 'developer' , prompt : 'Invoke Skill({ skill: "artifact-integrator" })' , } ) ; } Iron Laws ALWAYS check the integration queue before starting any new artifact creation — Step 0.5 is mandatory; unprocessed entries compound into orphan debt that accumulates silently. NEVER create more than 3 auto-spawned companion tasks per artifact — SEC-ICE-002 hard limit; exceeding it overwhelms the agent pipeline; queue remaining companions for manual review. ALWAYS validate backward-propagation claims against actual code — require >= 3 confirmed duplicate instances AND >= 30 LOC reduction before queuing; never queue unverified claims. ALWAYS mark queue entries as processed: true before reporting complete — unprocessed entries persist indefinitely and will be retried on every subsequent invocation. NEVER report integration gaps without updating the artifact graph — the graph is the system of record for artifact relationships; gap reports without graph updates are invisible to future runs. Anti-Patterns Anti-Pattern Why It Fails Correct Approach Skipping integration queue check Unprocessed entries accumulate silently Always read integration-queue.jsonl at Step 1 Creating >3 companion tasks per artifact Task explosion overwhelms the agent pipeline Enforce SEC-ICE-002: max 3 per artifact, 10 total Queuing backward-propagation without code validation False positives create unnecessary artifacts Verify >= 3 instances AND >= 30 LOC reduction Not marking queue entries processed Entries retry indefinitely on next invocation Set processed: true before reporting completion Reporting gaps without updating artifact graph Graph becomes stale; future analysis uses wrong data Always update graph edges after gap analysis Running integration on unverified artifact IDs Invalid IDs cause silent failures Verify artifact file exists before analysis

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