AAA Agentic Governance (AAA-Cockpit, canonical)
Governed intelligence skill for AAA as the abstraction, attestation, and abduction control plane across arifOS, APEX, A-FORGE, GEOX, WEALTH, WELL, and the…
Skill by ariffazil
Chalk Labs
Need help deploying AAA Agentic Governance (AAA-Cockpit, canonical)?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ariffazil-aaa-agentic-governance-aaa-cockpit-canonical
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: design, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/aaa-agentic-governance-aaa-cockpit-canonical
What's inside
- Skill name
AAA Agentic Governance (AAA-Cockpit, canonical)- Description
- Governed intelligence skill for AAA as the abstraction, attestation, and abduction control plane across arifOS, APEX, A-FORGE, GEOX, WEALTH, WELL, and the ariffazil profile repository. Use when the user asks to explain or design AAA, route agentic work, reduce chaos/entropy in an arifOS federation task, create AREP/task declarations, classify risk, plan multi-repo changes, review governance boundaries, or translate human intent into evidence-backed, authority-safe, recursively agentic workflows. Provides deterministic F1-F13 floor checking, bounded abduction, and FederationReceipt composition.
- License
- AGPL-3.0
- Instructions
- 252 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "AAA Agentic Governance (AAA-Cockpit, canonical)" does not match folder "aaa-agentic-governance"
Files (15)
- SKILL.md
- openai.yaml · agents/
- aaa-operating-model.md · references/
- agentic-workflows.md · references/
- constitutional-operating-model.md · references/
- federation-map.md · references/
- governance-gates.md · references/
- observability-spans.md · references/
- repo-working-rules.md · references/
- tool-risk-classes.md · references/
- aaa_router.py · scripts/
- bounded_explain.py · scripts/
- compose_federation_receipt.py · scripts/
- floor_check.py · scripts/
- orthogonality_test.py · scripts/
SKILL.md (first lines)
# AAA Agentic Governance
## Core stance
Treat **AAA** as the control-plane discipline for governed intelligence:
- **Abstraction**: reduce chaos by naming the right layer, owner, boundary, and interface.
- **Attestation**: separate verified fact from assumption, inference, hypothesis, simulation, and authority claim.
- **Abduction**: infer the best next explanation or route from incomplete evidence, then label uncertainty and test it.
Keep these three A's **orthogonal**. Do not mix them:
| Axis | Question | Output |
|---|---|---|
| Abstraction | What is the clean model/layer? | organ, interface, boundary, source of truth |
| Attestation | What is proven and by whom? | FACT / OBSERVED / DERIVED / INFERRED / HYPOTHESIS / UNVERIFIED |
| Abduction | What is the best explanation or next route? | route, hypothesis, missing evidence, validation step |
AAA is not final authority. AAA routes, displays, declares tasks, and lowers entropy. arifOS judges. A-FORGE executes approved work. Arif/F13 remains final human authority for irreversible, constitutional, external, or high-blast-radius action.
Use references only when needed:
- `references/aaa-operating-model.md` for the AAA doctrine, entropy reduction loop, and orthogonal A axes.
- `references/federation-map.md` for organ/repo roles and source-of-truth hierarchy.
- `references/governance-gates.md` for F1-F13, risk tiers, verdict language, and authority boundaries.
- `references/agentic-workflows.md` for reusable response templates and task patterns.
- `references/repo-working-rules.md` for safe repo edits, tests, and mutation guardrails.
## Golden path
For substantive AAA/arifOS/federation work, follow this loop:
1. **Declare intent**: restate the requested outcome, target organ/repo, and read-only vs mutating class.
2. **Abstract**: choose the minimal correct layer: AAA, arifOS, A-FORGE, GEOX, WEALTH, WELL, profile, or external tool.
3. **Attest**: state evidence class and source-of-truth. Label unverified claims.
4. **Abduce**: propose the best route/hypothesis and the smallest validation step.
5. **Route**: assign owner organ and secondary organs. Do not solve in the wrong layer.
6. **Reduce entropy**: remove duplicate concepts, collapse synonyms, define interfaces, and expose contradictions.
7. **Gate**: classify risk tier and identify F13/888_HOLD requirements.
8. **Compose**: give a clear operator-ready answer, plan, patch outline, or AREP declaration.
9. **Execute only when authorized**: for actual mutations, follow repo rules, preserve user changes, test, and report.
10. **Report attestation**: summarize facts, assumptions, unresolved uncertainty, gates, and next validation.
## Entropy reduction rules
Prefer clean invariants over mystical or overloaded language.
- One concept, one name. If multiple names exist, declare the canonical one and aliases.
- One owner per decision. Secondary organs may advise but must not silently decide.
- One source of truth per claim. If sources conflict, say which wins and why.
- One risk tier per action. If mixed, split the task.
- One next action. Do not produce sprawling plans unless the user asks for a full roadmap.
- Separate architecture from runtime state. A diagram is not proof of a live service.
## Routing matrix
| User intent | Primary owner | Secondary | Boundary |
|---|---|---|---|
| Explain AAA, AREP, A2A, registry, cockpit, task declaration | AAA | arifOS | AAA displays/routes; it does not judge |
| Explain F1-F13, 888_JUDGE, SEAL/HOLD/VOID, VAULT999 | arifOS | AAA | arifOS judges; do not invent final verdicts |
| Execute, build, shell, deploy, orchestrate tools | A-FORGE | arifOS, AAA | Execution needs gates; irreversible work needs approval |
| Wells, seismic, LAS, petrophysics, prospect risk | GEOX | WEALTH, arifOS | GEOX computes evidence; it does not decide drilling |
| NPV, IRR, EMV, portfolio, capital, allocation | WEALTH | GEOX, arifOS | WEALTH models value; it does not allocate alone |
| Fatigue, readiness, dignity, reliability, human substrate | WELL | arifOS | WELL observes; it does not diagnose or coerce |
| Public/professional bio | profile repo | arifOS/GEOX | Avoid unsupported personal inference |
For ambiguous tasks, route conservatively and expose the missing evidence.
## Risk tiers
- **Tier 0 read-only**: explain, summarize, inspect, classify, route, draft non-binding plans. Proceed with attestation.
- **Tier 1 reversible mutation**: docs/code patch, local tests, non-invasive refactor. Plan first; preserve user changes.
- **Tier 2 high blast radius**: deploys, secrets/auth, cross-repo architecture, external comms, budget/capital/drilling decisions. Require explicit human/F13 approval.
- **Tier 3 irreversible/atomic**: data deletion, destructive shell, force push, constitutional floor changes, final VAULT seal. Do not execute; produce HOLD plan.
## Output conventions
When answering, prefer this compact operator shape:
```text
INTENT: <requested outcome>
ABSTRACTION: <owner layer / organ / interface>
ATTESTATION: <FACT / OBSERVED / DERIVED / INFERRED / HYPOTHESIS / UNVERIFIED with source>
ABDUCTION: <best route or explanation + validation step>
RISK: <Tier 0-3 + gate>
ANSWER / PLAN: <operator-ready response>
HOLD CONDITIONS: <what needs Arif/F13 or live evidence>
```
When creating an AAA/AREP declaration:
```json
{
"intent": "clear human declaration",
"abstraction": {
"owner_organ": "AAA | arifOS | A-FORGE | GEOX | WEALTH | WELL",
"interface": "repo | MCP | A2A | UI | document | runtime",
"boundary": "what this layer may not decide"
},
"attestation": {
"reality_layer": "VERIFIED_STATE | OBSERVED_STATE | DERIVED_STATE | INFERRED | HYPOTHESIS | UNVERIFIED",
"evidence_refs": [],
"claim_limits": []
},
"abduction": {
"best_route": [],
"missing_evidence": [],
"validation_step": "smallest next check"
},
"risk_tier": 0,
"hold_conditions": [],
"expected_artifacts": []
}
```
## Optional deterministic helper
For first-pass routing and risk classification, run:From ariffazil/arifOS, AGPL-3.0.
More from ariffazil/arifOS
- 0.669score
memory-archivist
ariffazil
Cross-reference and synthesise daily memory files into patterns, insights, and carry-forward items.
SkillAFreshness: A★ 54Claude Code +9 - 0.669score
arifos-deploy
ariffazil
arifOS sovereign deployment: static hub, docs, runtime, and machine files.
SkillAFreshness: A★ 54Claude Code +9 - 0.664score
arif-a2a-call
ariffazil
A2A v1.0.0 client + 888 JUDGMENT integration for OPENCLAW.
SkillAFreshness: A★ 54Claude Code +9 - 0.664score
openclaw-ops
ariffazil
Complete OpenClaw operations skill: configure models/providers/channels/tools/agents/cron, manage sessions and sub-agents, control paired nodes…
SkillAFreshness: A★ 54Claude Code +9 - 0.661score
postcheck-verifier
ariffazil
Proves actions worked in reality — not just exit code 0, not just logs — by validating actual observable outcomes in the system
SkillAFreshness: A★ 54Claude Code +9 - 0.661score
arifOS-Langfuse
ariffazil
Instrument arifOS constitutional AI kernel with Langfuse LLM tracing.
SkillAFreshness: A★ 54Claude Code +9 - 0.661score
architect-explainer
ariffazil
Translates code, system state, and technical decisions into plain-language decisions, risks, and next actions for Muhammad Arif bin Fazil (non-coder sovereign…
SkillAFreshness: A★ 54Claude Code +9 - 0.661score
skill-composer
ariffazil
Chains multi-step workflows constitutionally — research → plan → judge → execute → verify → log → vault — without human step-by-step prompting
SkillAFreshness: A★ 54Claude Code +9 - 0.661score
arif-init-wrapper
ariffazil
Universal session auto-anchor for ALL agent vendors on arifOS VPS — Codex, Claude, Gemini, Kimi, OpenCode, Aider, Copilot, and future agents
SkillAFreshness: A★ 54Claude Code +9 - 0.658score
agi-autonomous-controller
ariffazil
AGI-level autonomous controller — self-healing, self-optimizing, constitutionally governed by arifOS F1-F13
SkillAFreshness: A★ 54Claude Code +9 - 0.658score
arifos-mcp-call
ariffazil
Invoke arifOS constitutional MCP tools (000-999 pipeline, F1-F13 enforced)
SkillAFreshness: A★ 54Claude Code +9 - 0.658score
agentic-governance
ariffazil
Hardened constitutional governance — F1-F13 floor enforcement with Quad-Witness consensus for all actions
SkillAFreshness: A★ 54Claude Code +9
Signals
- Stars
- 54
- Forks
- 9
- Open issues
- 3
- Contributors
- 98
- Last commit (this folder)
- Jul 24, 2026 (3 months ago)
- Last release
- Oct 17, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/ariffazil/arifOS
- Website
- arifos.arif-fazil.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from ariffazil
- 0.669score
memory-archivist
ariffazil
Cross-reference and synthesise daily memory files into patterns, insights, and carry-forward items.
SkillAFreshness: A★ 54Claude Code +9 - 0.669score
arifos-deploy
ariffazil
arifOS sovereign deployment: static hub, docs, runtime, and machine files.
SkillAFreshness: A★ 54Claude Code +9 - 0.664score
arif-a2a-call
ariffazil
A2A v1.0.0 client + 888 JUDGMENT integration for OPENCLAW.
SkillAFreshness: A★ 54Claude Code +9 - 0.664score
openclaw-ops
ariffazil
Complete OpenClaw operations skill: configure models/providers/channels/tools/agents/cron, manage sessions and sub-agents, control paired nodes…
SkillAFreshness: A★ 54Claude Code +9 - 0.661score
arif-init-wrapper
ariffazil
Universal session auto-anchor for ALL agent vendors on arifOS VPS — Codex, Claude, Gemini, Kimi, OpenCode, Aider, Copilot, and future agents
SkillAFreshness: A★ 54Claude Code +9 - 0.661score
architect-explainer
ariffazil
Translates code, system state, and technical decisions into plain-language decisions, risks, and next actions for Muhammad Arif bin Fazil (non-coder sovereign…
SkillAFreshness: A★ 54Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get AAA Agentic Governance (AAA-Cockpit, canonical) running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
AAA Agentic Governance (AAA-Cockpit, canonical) skill. Agent Mart. https://agentmart.dev/skills/ariffazil-aaa-agentic-governance-aaa-cockpit-canonical (last updated 2026-10-24)