skills/refreshing-artifacts/SKILL.md
Re-validate an artifact and update its confidence inputs. Routes to appropriate re-validation skill based on artifact type.
npx skillsauth add 0xHoneyJar/construct-beehive refreshing-artifactsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Re-validate an artifact by routing to the appropriate re-validation skill, then update confidence inputs (NOT the computed score) in frontmatter.
Update inputs, not outputs. This skill updates last_validated_at, last_validated_commit, and validation_count in frontmatter. It never stores a computed confidence score — that is always derived by /stale and /drift.
/refresh {artifact-path}
Examples:
/refresh grimoires/keeper/canvas/xabbu-canvas.md
/refresh grimoires/artisan/taste.md
/refresh grimoires/keeper/reality/profile.md
/stale or /drift shows an artifact needs refreshingParse YAML frontmatter:
- type (user-canvas, journey, reality, taste, etc.)
- confidence block (may be missing)
IF confidence block is MISSING:
Initialize confidence metadata:
confidence:
created_at: {now, RFC 3339 UTC}
last_validated_at: {now}
last_validated_commit: {git rev-parse HEAD}
validation_count: 0
related_paths: {infer from artifact type — see defaults below}
Write frontmatter and report "Confidence tracking initialized for {path}"
Skip Phase 2 (no re-validation needed for initialization)
Proceed to Phase 3
Based on artifact type, suggest and perform the appropriate re-validation:
IF type == "user-canvas":
→ Suggest: /observe --enrich @{user} --wallet {wallet}
→ Run Score API enrichment to refresh snapshot
→ Update frontmatter score_snapshot if wallet available
IF type == "journey":
→ Suggest: /shape {journey-id}
→ Re-validate journey against current canvases
IF type == "reality":
→ Suggest: /ground {component}
→ Re-extract from current codebase
IF type == "taste" or artifact is grimoires/artisan/taste.md:
→ Suggest: Review taste tokens against current design
→ Validate taste.md still reflects current brand direction
IF type is unknown or unrecognized:
→ Inform user: "Cannot auto-route — please validate manually"
→ Still update confidence inputs in Phase 3
Update ONLY these frontmatter fields:
confidence:
last_validated_at: "{now, RFC 3339 UTC}"
last_validated_commit: "{git rev-parse HEAD}"
validation_count: {previous + 1}
# created_at: UNCHANGED (immutable)
# related_paths: UNCHANGED (unless user specifies)
Do NOT store a computed current score. Score is always derived.
Emit to grimoires/shared/feedback/events/{YYYY-MM-DD}.jsonl:
{
"schema_version": 1,
"id": "fe-{unix_timestamp}-{random4hex}",
"timestamp": "{RFC 3339 UTC}",
"domain": "{inferred from artifact type: research for canvas, design for taste, code for reality}",
"source_pack": "observer",
"source_skill": "refreshing-artifacts",
"target": {
"type": "artifact",
"selector": "{artifact path relative to repo root}"
},
"signal": {
"direction": "positive",
"weight": 0.7,
"specificity": 0.8,
"content": "Artifact re-validated, confidence inputs updated (validation #{N})",
"kind": "behavioral"
},
"context": {
"artifact_path": "{artifact path}",
"confidence_at_time": "{computed score at time of refresh (for reference only)}"
}
}
✓ Artifact refreshed: {artifact-path}
Validation: #{validation_count}
Baseline commit: {last_validated_commit[:7]}
Previous confidence: {computed score before refresh}
Current confidence: {computed score after refresh}
Boost applied: +{boost value}
Re-validation: {what was done or suggested}
Next steps:
→ /stale (check overall artifact health)
→ /drift {path} (see detailed drift report)
When initializing confidence for the first time, infer related_paths from artifact type:
| Artifact Type | Default related_paths |
|---------------|----------------------|
| user-canvas | ["lib/score-api/**", "grimoires/keeper/canvas/"] |
| journey | ["grimoires/keeper/canvas/", "grimoires/keeper/journeys/"] |
| reality | ["src/", "lib/"] |
| taste | ["grimoires/artisan/", "src/components/"] |
| unknown | [] (empty — user should configure) |
| Error | Resolution | |-------|------------| | Artifact not found | Error with path suggestion | | Git not available | Use current timestamp, skip commit SHA, warn | | Frontmatter parse error | Attempt repair, or error with backup suggestion | | Re-validation skill not available | Update inputs anyway, note in report | | No wallet for canvas enrichment | Skip enrichment, update inputs only |
/observe --enrich, /shape, /ground (depending on type)/stale and /drift (after refresh, scores improve)data-ai
Cognition orchestrator — analyze canvases, distill fears via /distill subagent, run gap analysis, optional cross-user synthesis.
development
Golden path /speak — generate RLM-isolated follow-ups with chronicle temporal context injection.
testing
# /snapshot — MiDi Experience Record (MER) Capture Capture a point-in-time MER for a wallet. Produces a 4-layer snapshot: data state, visual screenshot, user perception, and decision context. ## Usage ``` /snapshot <wallet-or-alias> /snapshot xabbu --trigger feedback /snapshot xabbu --data-only /snapshot --cohort /snapshot --cohort --diff MER-2026-001 ``` ## Arguments | Argument | Description | Required | |----------|-------------|----------| | `wallet-or-alias` | Wallet address or alias fr
development
Golden path /shape — consolidate journey patterns across canvases and file gap issues.