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Gathers N independent, decorrelated perspectives across model families (external CLIs when present, subagents when not) and arbitrates inline. Use when a decision needs genuine debate — not same-model echo — for critique, review, or judge calls. Honest about degradation: never cl
Gathers N independent, decorrelated perspectives across model families (external CLIs when present, subagents when not) and arbitrates inline. Use when a decision needs genuine debate — not same-model echo — for critique, review, or judge calls. Honest about degradation: never claims 'consensus' from a single model family.
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One coordination primitive that gathers N INDEPENDENT perspectives for any skill needing debate or multi-view judgment. Detects installed AI CLIs → fans a question across distinct model families → degrades gracefully to subagents when no bridge exists → gates off-topic/malformed voices → normalizes claims → arbitrates INLINE (no separate arbiter skill — single producer→single consumer is YAGNI).
Council's entire value proposition is decorrelated model bias — two different architectures independently reaching the same conclusion is signal; two instances of the same model agreeing is an echo. council refuses to launder the second case as the first.
If fewer than 2 distinct real
model_familyvalues answered (excludingis_fallbackvoices AND voices withmodel_family: "unknown"— unconfirmed wrapper-CLI backends, seereferences/dispatch-protocol.md§Detect), council MUST stamp the runNO_DECORRELATIONand the Arbitrate step MUST NOT use consensus language ("voices agree", "consensus view", "the panel concludes"). Say what happened instead: "N subagents of the same model family produced overlapping output — treat as one perspective, not independent confirmation."
adversary — Step 0.6, mode=critique, for plans flagged high-risk/critical-path/expensive-to-reversereview — Step 1.6, mode=review, when blast radius is 50+ callers with a HIGH-severity changebrainstorm — Step 3.75, mode=judge, Design-It-Twice Mode only, when N=4 spawned for a remote/external dependency, diversity landed in the 0.4-0.59 marginal band, or the user requests a second opinion on which candidate design is strongestproblem-solver — Step 6.5, mode=judge, when a one-way-door decision has a high-impact top solution, or the ethical dimension check surfaced a severe harm/fairness concern/rune council <question> — manual multi-perspective gathering on any questionNone at the skill level — council dispatches via Bash (external CLI bridge) and Task (subagent fallback) directly. It does not call other Rune skills.
adversary (L2): Step 0.6 — decorrelated critique before red-teaming a high-risk planreview (L2): Step 1.6 — decorrelated bug-finding when blast radius escalation firesbrainstorm (L2): Step 3.75 — decorrelated judgment on which Design-It-Twice candidate is strongest, narrow trigger onlyproblem-solver (L3): Step 6.5 — decorrelated judgment on whether a high-stakes framework conclusion holds (documented L3→L3 coordination)/rune council direct invocationadversary (L2): CouncilResult.agreement → seeds Step 6 Verdict with cross-family-verified findings instead of (or alongside) single-pass analysisreview (L2): CouncilResult.agreement → seeds Step 6 Report's CRITICAL/HIGH findings for the escalated symbolbrainstorm (L2): CouncilResult.agreement → seeds Step 4 Recommend with cross-family-verified judgment on the strongest candidate design, alongside (never replacing) the diversity scoreproblem-solver (L3): CouncilResult.agreement → seeds Step 6's top solution with a cross-family-verified soundness check before Step 7 communication structuring.rune/council/run-*.json: every run's full result — free tier owns this schema; Pro Council Cockpit (deferred, Phase 2) reads it for a live panelPerspectiveRequest — question, mode, n, diversity constraints, evidence requirements (see .rune/council-voice-contract.md).rune/runtimes.json — cached CLI detection from the current session (council writes this in Step 1, OR sentinel-env --agents may have pre-written it during env pre-flight — same council-owned schema, council's Step 1.1 cache-reuse path picks up whichever wrote first)Contract source of truth: .rune/council-voice-contract.md (Voice v2). This section is the executable protocol; the contract file is the schema. If the two disagree, the contract wins — update this file to match, don't silently drift.
.rune/runtimes.json. If it exists and is from the current session (same date), reuse it — skip to Step 2.1devtool-agent bridge (the local CLI that fans prompts out to installed AI coding agents — Claude, Codex, Gemini, Antigravity, Cline, Amp, OpenCode, Qwen, Grok, Aider). Detection and family-mapping details: references/dispatch-protocol.md §Detect..rune/runtimes.json: { detected: [{runtime, status, model_family, version}], checked_at: <session marker>, bridge_path: <resolved path> } — exact field list owned by references/dispatch-protocol.md §Detect, keep the two in sync.runtime_report.detected = []. This is not an error — proceed straight to subagent-only mode (Step 3 DEGRADE).request.n (2-5) and request.diversity.prefer_model_families.model_family — prefer 1 voice per distinct family before doubling up on any family.n:
n >= 3: reserve both — Perturbation slot (inverted framing — argue the opposite starting position) and Devil's-advocate slot (mandated to argue AGAINST the majority as it forms; voices run independently/blind, so this is a framing instruction, not a sequencing one).n == 2: reserve the Perturbation slot only, leave the second slot answering the question plainly. Reserving both at n=2 would leave zero voices reading the question at face value, which starves ARBITRATE of a baseline reading to compare the perturbation against.brainstorm Design-It-Twice technique (each subagent pinned to exactly ONE stance — enforced via prompt template) — this does NOT create real decorrelation (same model family), but it reduces prose-verbatim groupthink, which matters for the correlated-agreement guards in Step 5..rune/council/run-<request.id>.json with every allocated slot present and status: "queued" (no claims yet). This is what makes the run file useful for a live reader (e.g. Pro Council Cockpit, deferred to Phase 2) — without this write, a run in progress is indistinguishable from a run that hasn't started.For each allocated slot:
source: external-cli): update that voice's status: "running" in the run file, dispatch per references/dispatch-protocol.md §Dispatch with budget.per_voice_timeout_s enforced. On timeout or non-zero exit → mark is_fallback: true and immediately dispatch a subagent for that slot instead (do not drop the slot) — update status back to "running" for the fallback attempt, not straight to failed.source: subagent): update status: "running", dispatch via Task with the persona/constraint from Step 2.4 baked into the prompt. runtime: "internal", model_family: "anthropic", is_fallback: false if this was the slot's original allocation, is_fallback: true if it's covering a dead external slot.latency_ms and update that voice's status: "complete" in the run file — GATE (Step 4) may still later flip a completed voice to "dropped", but "complete" at this point means "produced a raw answer," not "counted toward the result." Populate runtime_report.used / runtime_report.degraded_to_subagent at the same time..rune/council/run-<request.id>.json each time a voice moves queued → running → complete. This is a small file; the incremental writes are what make "live per-voice status" (per the Voice Contract) real rather than aspirational. A caller or Cockpit reading the file mid-run sees genuine progress, not a stale skeleton.For each raw voice response, before it counts toward anything:
text and optionally anchor/evidence)? Malformed → validity.well_formed: fail, dropped_by: "council.gate", add to voices_dropped[] with the raw-output reason. Do not attempt to salvage a malformed response by re-prompting mid-run — that's a retry loop the contract doesn't budget for.question_echo, compare against request.question. If the voice answered a different question than asked (common failure mode for wrapper CLIs that inject their own system framing) → validity.on_topic: fail, dropped_by: "council.gate", drop it.voices_dropped[] with {runtime, reason, dropped_by} — no silent drops. A voice that fails gate is not "missing," it's "dropped for reason X" — the caller and any human reading the run file need to know a slot was spent and produced nothing usable.status: "complete" → "dropped" in the run file for anything gated out here (per Step 3.5's incremental-write convention) — a live reader should see the drop, not just infer it from the voice being absent later.Determines whether two voices made "the same claim" — meaningless until defined, so apply this exact strategy, in order:
anchor (file:line, plan-step-id, or symbol). No inference needed.evidence.ref. Prose/wording similarity ALONE never establishes a match — two voices using similar phrasing because they were trained on similar data is exactly the correlation this primitive exists to detect and discount, not average away.matched_by: {method: "anchor"|"arbiter", model: <this council run's identity>} on every match.evidence.verified MUST be set by a verified_by that is NOT the voice that produced the claim (mechanical check — run the test/repro yourself, or have a different-family voice check it — never trust self-certification). Claims with verified: unchecked or self-certified verified_by do not count toward coname: council description: "Gathers N independent, decorrelated perspectives across model families (external CLIs when present, subagents when not) and arbitrates inline. Use when a decision needs genuine debate — not same-model echo — for critique, review, or judge calls. Honest about degradation: never claims 'consensus' from a single model family." user-invocable: true metadata: author: runedev version: "0.1.0" layer: L3 model: sonnet group: reasoning tools: "Read, Write, Bash, Grep, Glob, Task" emit: council.dispatched, council.result
---
name: council
description: "Gathers N independent, decorrelated perspectives across model families (external CLIs when present, subagents when not) and arbitrates inline. Use when a decision needs genuine debate — not same-model echo — for critique, review, or judge calls. Honest about degradation: never claims 'consensus' from a single model family."
user-invocable: true
metadata:
author: runedev
version: "0.1.0"
layer: L3
model: sonnet
group: reasoning
tools: "Read, Write, Bash, Grep, Glob, Task"
emit: council.dispatched, council.result
---
# council
## Purpose
One coordination primitive that gathers N INDEPENDENT perspectives for any skill needing debate or multi-view judgment. Detects installed AI CLIs → fans a question across distinct model families → degrades gracefully to subagents when no bridge exists → gates off-topic/malformed voices → normalizes claims → **arbitrates INLINE** (no separate arbiter skill — single producer→single consumer is YAGNI).
Council's entire value proposition is *decorrelated* model bias — two different architectures independently reaching the same conclusion is signal; two instances of the same model agreeing is an echo. council refuses to launder the second case as the first.
<HARD-GATE>
If fewer than 2 distinct real `model_family` values answered (excluding `is_fallback` voices AND voices with `model_family: "unknown"` — unconfirmed wrapper-CLI backends, see `references/dispatch-protocol.md` §Detect), council MUST stamp the run `NO_DECORRELATION` and the Arbitrate step MUST NOT use consensus language ("voices agree", "consensus view", "the panel concludes"). Say what happened instead: "N subagents of the same model family produced overlapping output — treat as one perspective, not independent confirmation."
</HARD-GATE>
## Triggers
- Called by `adversary` — Step 0.6, mode=critique, for plans flagged high-risk/critical-path/expensive-to-reverse
- Called by `review` — Step 1.6, mode=review, when blast radius is 50+ callers with a HIGH-severity change
- Called by `brainstorm` — Step 3.75, mode=judge, Design-It-Twice Mode only, when N=4 spawned for a remote/external dependency, diversity landed in the 0.4-0.59 marginal band, or the user requests a second opinion on which candidate design is strongest
- Called by `problem-solver` — Step 6.5, mode=judge, when a one-way-door decision has a high-impact top solution, or the ethical dimension check surfaced a severe harm/fairness concern
- `/rune council <question>` — manual multi-perspective gathering on any question
- Auto-trigger: none (always explicit — council is expensive relative to a single pass, callers opt in)
## Calls (outbound)
None at the skill level — council dispatches via `Bash` (external CLI bridge) and `Task` (subagent fallback) directly. It does not call other Rune skills.
## Called By (inbound)
- `adversary` (L2): Step 0.6 — decorrelated critique before red-teaming a high-risk plan
- `review` (L2): Step 1.6 — decorrelated bug-finding when blast radius escalation fires
- `brainstorm` (L2): Step 3.75 — decorrelated judgment on which Design-It-Twice candidate is strongest, narrow trigger only
- `problem-solver` (L3): Step 6.5 — decorrelated judgment on whether a high-stakes framework conclusion holds (documented L3→L3 coordination)
- User: `/rune council` direct invocation
## Data Flow
### Feeds Into →
- `adversary` (L2): `CouncilResult.agreement` → seeds Step 6 Verdict with cross-family-verified findings instead of (or alongside) single-pass analysis
- `review` (L2): `CouncilResult.agreement` → seeds Step 6 Report's CRITICAL/HIGH findings for the escalated symbol
- `brainstorm` (L2): `CouncilResult.agreement` → seeds Step 4 Recommend with cross-family-verified judgment on the strongest candidate design, alongside (never replacing) the diversity score
- `problem-solver` (L3): `CouncilResult.agreement` → seeds Step 6's top solution with a cross-family-verified soundness check before Step 7 communication structuring
- `.rune/council/run-*.json`: every run's full result — free tier owns this schema; Pro Council Cockpit (deferred, Phase 2) reads it for a live panel
### Fed By ←
- Caller's `PerspectiveRequest` — question, mode, n, diversity constraints, evidence requirements (see `.rune/council-voice-contract.md`)
- `.rune/runtimes.json` — cached CLI detection from the current session (council writes this in Step 1, OR `sentinel-env --agents` may have pre-written it during env pre-flight — same council-owned schema, council's Step 1.1 cache-reuse path picks up whichever wrote first)
## Workflow
Contract source of truth: `.rune/council-voice-contract.md` (Voice v2). This section is the executable protocol; the contract file is the schema. If the two disagree, the contract wins — update this file to match, don't silently drift.
### Step 1: DETECT
1. Check for a cached runtime report at `.rune/runtimes.json`. If it exists and is from the current session (same date), reuse it — skip to Step 2.
2. Otherwise probe for the `1devtool-agent` bridge (the local CLI that fans prompts out to installed AI coding agents — Claude, Codex, Gemini, Antigravity, Cline, Amp, OpenCode, Qwen, Grok, Aider). Detection and family-mapping details: `references/dispatch-protocol.md` §Detect.
3. Write `.rune/runtimes.json`: `{ detected: [{runtime, status, model_family, version}], checked_at: <session marker>, bridge_path: <resolved path> }` — exact field list owned by `references/dispatch-protocol.md` §Detect, keep the two in sync.
4. No bridge found → `runtime_report.detected = []`. This is not an error — proceed straight to subagent-only mode (Step 3 DEGRADE).
### Step 2: ALLOCATE
1. Read `request.n` (2-5) and `request.diversity.prefer_model_families`.
2. Rank available runtimes by distinct `model_family` — prefer 1 voice per distinct family before doubling up on any family.
3. Reserve mandatory slots per the Voice Contract's correlated-agreement guards, scaled to `n`:
- **`n >= 3`**: reserve both — **Perturbation slot** (inverted framing — argue the opposite starting position) and **Devil's-advocate slot** (mandated to argue AGAINST the majority as it forms; voices run independently/blind, so this is a *framing* instruction, not a sequencing one).
- **`n == 2`**: reserve the Perturbation slot only, leave the second slot answering the question plainly. Reserving both at `n=2` would leave zero voices reading the question at face value, which starves ARBITRATE of a baseline reading to compare the perturbation against.
4. If falling back to subagents for some/all slots (Step 3), pin each subagent to a distinct persona/constraint using the `brainstorm` Design-It-Twice technique (each subagent pinned to exactly ONE stance — enforced via prompt template) — this does NOT create real decorrelation (same model family), but it reduces prose-verbatim groupthink, which matters for the correlated-agreement guards in Step 5.
5. Compose each voice's prompt as **fully self-contained** — external voices have zero conversation context. Include: the question, the mode, evidence requirements, and (for critique/review modes) the artifact or plan text inline. Never say "see above" or "as discussed."
### Step 3: DISPATCH + DEGRADE
0. **Skeleton write** (live-status entry point): before dispatching anything, write `.rune/council/run-<request.id>.json` with every allocated slot present and `status: "queued"` (no claims yet). This is what makes the run file useful for a live reader (e.g. Pro Council Cockpit, deferred to Phase 2) — without this write, a run in progress is indistinguishable from a run that hasn't started.
For each allocated slot:
1. **External slot** (`source: external-cli`): update that voice's `status: "running"` in the run file, dispatch per `references/dispatch-protocol.md` §Dispatch with `budget.per_voice_timeout_s` enforced. On timeout or non-zero exit → mark `is_fallback: true` and immediately dispatch a subagent for that slot instead (do not drop the slot) — update `status` back to `"running"` for the fallback attempt, not straight to failed.
2. **Subagent slot** (`source: subagent`): update `status: "running"`, dispatch via `Task` with the persona/constraint from Step 2.4 baked into the prompt. `runtime: "internal"`, `model_family: "anthropic"`, `is_fallback: false` if this was the slot's original allocation, `is_fallback: true` if it's covering a dead external slot.
3. Run all slots in parallel (single message, multiple tool calls) — sequential dispatch defeats the purpose of gathering independent perspectives at reasonable cost.
4. As each slot resolves (raw response received, whether or not it will later pass GATE), record `latency_ms` and update that voice's `status: "complete"` in the run file — GATE (Step 4) may still later flip a completed voice to `"dropped"`, but "complete" at this point means "produced a raw answer," not "counted toward the result." Populate `runtime_report.used` / `runtime_report.degraded_to_subagent` at the same time.
5. **Write after every status transition**, not just at the end — overwrite `.rune/council/run-<request.id>.json` each time a voice moves `queued → running → complete`. This is a small file; the incremental writes are what make "live per-voice status" (per the Voice Contract) real rather than aspirational. A caller or Cockpit reading the file mid-run sees genuine progress, not a stale skeleton.
### Step 4: GATE
For each raw voice response, before it counts toward anything:
1. **Well-formed check**: does the response parse into the expected Voice shape (stance + claims, each claim with `text` and optionally `anchor`/`evidence`)? Malformed → `validity.well_formed: fail`, `dropped_by: "council.gate"`, add to `voices_dropped[]` with the raw-output reason. Do not attempt to salvage a malformed response by re-prompting mid-run — that's a retry loop the contract doesn't budget for.
2. **On-topic check (the Agy fix)**: extract what the voice *thinks* it answered into `question_echo`, compare against `request.question`. If the voice answered a different question than asked (common failure mode for wrapper CLIs that inject their own system framing) → `validity.on_topic: fail`, `dropped_by: "council.gate"`, drop it.
3. Every dropped voice MUST appear in `voices_dropped[]` with `{runtime, reason, dropped_by}` — no silent drops. A voice that fails gate is not "missing," it's "dropped for reason X" — the caller and any human reading the run file need to know a slot was spent and produced nothing usable.
4. Flip that voice's `status: "complete" → "dropped"` in the run file for anything gated out here (per Step 3.5's incremental-write convention) — a live reader should see the drop, not just infer it from the voice being absent later.
### Step 5: NORMALIZE (claim-matching)
Determines whether two voices made "the same claim" — meaningless until defined, so apply this exact strategy, in order:
1. **Anchor match (deterministic, cheap)**: two claims match if they share the same `anchor` (`file:line`, `plan-step-id`, or `symbol`). No inference needed.
2. **Arbiter cluster (fallback for keyless claims)**: for claims without a matching anchor, group by semantic similarity — but a cluster is only a valid match if the grouped claims **share at least one `evidence.ref`**. Prose/wording similarity ALONE never establishes a match — two voices using similar phrasing because they were trained on similar data is exactly the correlation this primitive exists to detect and discount, not average away.
3. Record `matched_by: {method: "anchor"|"arbiter", model: <this council run's identity>}` on every match.
4. **Verification gate**: a claim's `evidence.verified` MUST be set by a `verified_by` that is NOT the voice that produced the claim (mechanical check — run the test/repro yourself, or have a different-family voice check it — never trust self-certification). Claims with `verified: unchecked` or self-certified `verified_by` do not count toward coSkill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
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"install": "npx skills add Rune-kit/rune --skill council",
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"documentation": "Strong README/SKILL.md context",
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},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"research",
"agent-skill"
],
"known_risks": [
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 86 GitHub stars",
"Stars/forks activity: 86 stars, 25 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 74,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 86 GitHub stars",
"Stars/forks activity: 86 stars, 25 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 63,
"label": "Promising"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "Research agents",
"maintenance": "1mo since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
],
"agent_contract": {
"task_input": "Use council in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 70/100 Manual review",
"Audit: 74/100 Needs review",
"Safety: 26/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "rune-kit-council (council)",
"install_command": "npx skills add Rune-kit/rune --skill council",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "rune-kit-council",
"task": "Use council in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/rune-kit-council",
"api": "https://www.openagentskill.com/api/agent/skills/rune-kit-council",
"audit": "https://www.openagentskill.com/skills/rune-kit-council/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=rune-kit-council&task=Use%20council%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20council%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20council%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/rune-kit-council/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/rune-kit-council"
}
}Listing source
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Audit
74/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.