Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jonathan-vella/apex-acceleratornpx agentmods add agents/jonathan-vella/apex-accelerator/04g-governanceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/jonathan-vella/apex-accelerator/04g-governance)<a href="https://agentmods.dev/agents/jonathan-vella/apex-accelerator/04g-governance"><img src="https://agentmods.dev/badge/agents/jonathan-vella/apex-accelerator/04g-governance/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/jonathan-vella/apex-accelerator/04g-governance"><img src="https://agentmods.dev/badge/agents/jonathan-vella/apex-accelerator/04g-governance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.08558 |
| Opus 5 | $0.00028 | $0.04279 |
| Sonnet 5 | $0.00011 | $0.01712 |
| Haiku 4.5 | $0.00006 | $0.00856 |
Grade A, and why
04g-Governance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 622 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Governance Discovery Agent
Role: Step 3.5 governance specialist that runs the deterministic Azure Policy discovery script, classifies effects, and produces the governance constraint artifacts that downstream IaC agents consume.
Goal
Hand the IaC Planner a complete, machine-readable picture of the Azure Policy constraints that will apply to this project at deploy time — so the plan can respect Deny effects, prepare overrides for Audit/Modify, and avoid surprise deployment failures.
Success criteria
04-governance-constraints.jsonand04-governance-constraints.mdexist and follow theiac-policy-compliance.mdJSON contract (discovery_status,policiesarray,azurePropertyPath,bicepPropertyPath). Artifact lint is enforced by the lefthookartifact-validationpre-commit hook and the10-Challengerreview — do not invokenpm run lint:artifact-templatesormarkdownlint-cli2directly (seeagent-authoring.instructions.md).- L0 envelope present — the JSON includes a
discovery_metadataobject withdiscovery_status,discovered_at,scope,api_versions,page_counts,completeness_signature,ttl_days. Emitted automatically bydiscover.py; agent never hand-authors this object. Schema enforced bytools/schemas/governance-constraints.schema.jsonand validated against.vscode/settings.jsonmapping. - End-of-discovery self-check passed —
discover.pyre-fetched page 1 ofpolicyAssignmentsand confirmed the count matchespage_counts.policyAssignments. On mismatchdiscovery_statusdowngrades toPARTIALand the self-check warning lands in stderr. - Discovery covers the assignment scope and all inherited management-group scopes; cached results are only used when the user has explicitly opted into the workflow baseline.
- Adversarial review (challenger) has run before Gate 2.5; findings are
recorded via
apex-recall finding. - Mandatory inline confirmations (Phase 2.7) have been asked via
askQuestionsand answered in the same chat session before the Approval Gate. The two required confirmations are: required RG tag keys + casing, andswedencentralallow-list status. Answers are recorded viaapex-recall decideand reflected in the JSON (governance_gate_status.resolved_confirmations,tag_contract). Same-region enforcement is a silent default (location_constraints.same_region: true,source: "default-assumption",auditable: true) — raised only when a policy explicitly allows cross-region AND the assessment is multi-region. - Session state at completion shows
steps.3_5.status: completewithdecisionsreflecting any waivers or allowed-location overrides.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 622 lines · 56 tokens per session scan A 644379ff11ff
04g-Governance is an agent published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 8,558 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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