skills/platform/peer-health/SKILL.md
Run a health check on all wicked-* peer tools (wicked-vault, wicked-testing, wicked-brain, wicked-bus). Reports reachability, version vs. pin, and declared capability status for each peer. The replacement for `npx wicked-loom doctor` after Phase B absorption — peer-resolution now runs in-process via scripts/loom/, no external wicked-loom needed. Use when: "peer health", "check the wicked peers", "is wicked-vault reachable", "loom doctor", "peer version drift", "capability gap", or any former /wicked-garden:platform:peer-health invocation.
npx skillsauth add mikeparcewski/wicked-garden wicked-garden-platform-peer-healthInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Check reachability and version health of wicked-* peer tools.
--peer <name> — check a single peer (vault, testing, brain, bus)--strict — exit non-zero if any peer has capability-gap (status != wired)--json — emit raw JSON rows instead of the formatted tableRun the internal loom doctor via the absorbed scripts/loom/compose module. No external wicked-loom process is needed — this runs in-process.
sh "${CLAUDE_PLUGIN_ROOT}/scripts/_python.sh" -c "
import sys, os, json
sys.path.insert(0, os.path.join(os.environ.get('CLAUDE_PLUGIN_ROOT', '.'), 'scripts'))
from loom import compose, manifest
peer_arg = None
import argparse
p = argparse.ArgumentParser()
p.add_argument('--peer', default=None)
p.add_argument('--strict', action='store_true')
p.add_argument('--json', dest='as_json', action='store_true')
try:
args = p.parse_args()
except SystemExit:
args = p.parse_args([])
if args.peer:
rows = [compose.check_peer(args.peer)]
else:
rows = compose.check_all()
if args.as_json:
print(json.dumps(rows, indent=2))
else:
# Human-readable table
print()
print(f' {\"PEER\":<16} {\"STATUS\":<10} {\"VERSION\":<12} {\"CAPABILITY\":<14} PIN')
print(' ' + '-'*62)
for r in rows:
peer_name = r.get('peer', '?')
status = r.get('status', '?')
version = r.get('installed', '-')
cap = r.get('capability', '-') or '-'
cap_ok = r.get('capability_ok', False)
pin = r.get('pin', '-') or '-'
icon = ' ' if r.get('ok') else '!'
cap_icon = '' if cap_ok else ' (gap)'
print(f'{icon} {peer_name:<16} {status:<10} {version:<12} {cap:<14}{cap_ok and \"\" or \" (!gap)\"} ^{pin}')
print()
if args.strict:
gaps = [r['peer'] for r in rows if not r.get('capability_ok')]
if gaps:
print(f'STRICT: capability gaps on: {', '.join(gaps)}')
sys.exit(1)
" $ARGUMENTS
| Status | Meaning | Action |
|---|---|---|
| ok | Resolved, version meets pin | None needed |
| drift | Resolved, version below pin | Update peer |
| present | Resolved + responds, version unreadable | WARN — update or check CLI |
| missing | Not found anywhere | Install the peer |
| error | Probe raised (binary vanished, OS error) | Reinstall |
capability is distinct from reachability. A peer can be ok (reachable)
but experimental or planned (not trusted for gating). The gate only
trusts wired peers — anything else yields a capability-gap verdict.
wicked-brain is currently STATUS_EXPERIMENTAL (bridge/deprecation period):
garden exposes equivalent surfaces via wicked-estate MCP. New work must not
declare brain as a required gate peer.
peer-health # all peers, formatted table
peer-health --peer vault # single peer
peer-health --strict # non-zero exit on any capability gap
peer-health --json # raw JSON rows
development
Pattern-conformance agent-half: evaluates a produced artifact or diff against a set of architectural/design pattern rules from the conformance-rule store (wicked_governance schema). Returns structured findings with rule ID, severity, and rationale — the deterministic half (mechanical rule recall) is done by the guard pipeline; this is the semantic evaluation step. Triggered by: the guard_pipeline `outgov_pattern` check (session-close), or explicitly by an engineering review when WICKED_OUTGOV_RULES_DIR is populated. NOT a replacement for the full `engineering` review skill — focuses only on conformance to stored Pattern rules; architecture and code-quality checks live in the `engineering` skill. Semantic evaluation reuses `wicked-garden-qe-semantic-reviewer` as the designated agent-half evaluator (per garden#983 spec). This skill is the orchestrating wrapper that loads applicable Pattern rules and delegates the per-rule semantic judgment to qe-semantic-reviewer.
tools
The FOUNDATIONAL domain-model capability: extract a codebase's domain — testable business rules (with confidence + provenance), entities, requirements — as a schema-conformant model on the estate graph. The workers annotate the store; wicked-core reads it and builds the requirements graph, coverage-gating fail-closed. Steers three fork workers. A shared substrate, not a modernization tool. The `modernize` archetype DERIVES from it; build / migrate / review / specify / explore consume the SAME domain model — none OWN it. Understanding a codebase's domain is upstream of almost everything else garden does. Use when: "extract the business rules / domain model from this codebase", "build a requirements graph from the code", "what does this system actually require", "reverse-engineer the domain before we build/port/migrate". Works on ANY codebase (modern or legacy) — the value is the domain model, not the porting. NOT the code transform itself (that is the archetype consuming this model). This skill produces the DOMAIN MODEL, not new code.
development
Domain-graph fork worker for the modernize archetype. Groups the estate's Louvain communities into business domains, attaches each requirement to its cluster (advisory cluster_id provenance), and invokes wicked-core's domain-graph build (which reads the annotated estate store, recomputes coverage fail-closed, and builds the requirements graph) — then validates core's output against the vendored schema. Use when: dispatched by wicked-garden-domain after rule extraction to turn a flat rule set into cluster-keyed domains; "group these into domains", "build the requirements graph", "translate clusters into a domain model". NOT for mining the rules themselves (that is domain-extractor) or threat-modeling (that is domain-coverage).
tools
Rule-extraction fork worker for the FOUNDATIONAL domain-model capability. Mines testable business rules from a codebase — each with a numeric confidence and a provenance{source, ref, source_kinds} — and annotates them into the estate store so wicked-core can build the domain-model requirements graph (coverage-gated). This is a substrate, not a modernization tool: the `modernize` archetype DERIVES from it, and build / migrate / review / specify / explore can consume the same domain model — none OWN it. Use when: dispatched by wicked-garden-domain to mine the business_rules of a codebase (or a module); "extract the domain rules", "what does this system require", building the requirements half of a domain model. NOT for grouping into domains (that is domain-modeler) or judging coverage (that is domain-coverage — a seat-distinct evaluator).