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---
name: apex-azure-governance-discovery
user-invocable: true
disable-model-invocation: false
argument-hint: "project, subscription scope and discovery or refresh"
description: "**ANALYSIS SKILL** — Azure Policy discovery: effective assignments (incl. MG-inherited), definitions/exemptions, effect classification, emits governance-constraints JSON. WHEN: 'Azure policy discovery', 'effective policy assignments', 'governance constraints', '04g-Governance Phase 1', 'refresh governance JSON'. DO NOT USE FOR: artifact writing, architecture mapping."
compatibility: Requires Python 3.14, Azure CLI on PATH, read access to the target subscription.
---
# Azure Governance Discovery Skill
Replaces the legacy `governance-discovery-subagent` with a deterministic script.
The skill exposes `scripts/discover.py` — a single batched REST traversal that
emits the schema-compliant `04-governance-constraints.json` envelope. The parent
agent (`04g-Governance`) invokes it via `run_in_terminal`, reads a compact
one-line JSON status from stdout, and proceeds to artifact writing without ever
pulling raw Azure REST responses into LLM context.
## When to Use
- Step 3.5 governance discovery for a project
- Refreshing the governance snapshot after policy changes
- Regenerating inputs for Step 4 (IaC Plan) and Step 5 (IaC Code)
## When NOT to Use
- Writing `04-governance-constraints.md` — that stays in the parent agent
- Cross-referencing architecture resources — parent-side LLM work
- Challenger review orchestration — parent-side LLM work
- Any workflow that is not 04g-Governance
## Rules
- **Stay deterministic** — the discovery script is a single batched REST traversal; no LLM calls, no retries that hide errors, no inferred policy effects
- **Use compact status for routing**, then targeted envelope reads for decisions; recover all required evidence and diagnostics
- **Schema compliance is mandatory** — envelope MUST conform to `tools/schemas/governance-constraints.schema.json` (`schema_version: governance-constraints-v1`)
- **Property paths are always strings** — use `""` for unresolvable paths, never `null`
- **Defender filtering is narrow** — the collector retains enforcement-bearing assignments; `--include-defender-auto` retains all
- **Exit codes are contract** — `0` = COMPLETE, `1` = PARTIAL, `2` = FAILED; argparse errors also return nonzero. COMPLETE is collection status, not planning approval
- **No artifact writing** — the script emits JSON + a `.preview.md`; the agent owns the final `04-governance-constraints.md` content and traffic-light rendering
- **Reuse only current scoped evidence** — project, subscription, options, schema, COMPLETE status, valid TTL and exemptions must match
- **Resolve confirmations before review** — all topics require current evidence-bound answers; unknowns block. See [inline resolution](references/inline-resolution-gate.md)
## Steps
```bash
python .github/skills/apex-azure-governance-discovery/scripts/discover.py \
--project my-project \
--out agent-output/my-project/04-governance-constraints.json
```
Flags:
| Flag | Meaning |
| ------------------------------ | ------------------------------------------------------------------ |
| `--project <name>` | Required. Used only for cache key and provenance. |
| `--out <path>` | Required. Full envelope written here (overwrites). |
| `--subscription <id\|default>` | Optional. `default` uses `az account show`. |
| `--refresh` | Force re-discovery even if `<out>` already exists. |
| `--include-defender-auto` | Include Defender-for-Cloud auto-assignments (excluded by default). |
Exit codes:
| Code | Meaning |
| ---- | --------------------------------------------------------------- |
| `0` | `COMPLETE` — discovery succeeded |
| `1` | `PARTIAL` — partial data written; parent should surface to user |
| `2` | `FAILED` — auth/network/permission error |
| `2` | Invalid arguments (argparse), distinguished from failures by diagnostics |
Stdout — always exactly one machine-readable JSON line first, optional
human-readable preview after:
```json
{
"status": "COMPLETE",
"cache_hit": false,
"assignment_total": 247,
"blockers": 18,
"auto_remediate": 12,
"exempted": 3,
"out_path": "agent-output/my-project/04-governance-constraints.json"
}
```
## Output Contract
The script writes a JSON envelope conforming to
[`tools/schemas/governance-constraints.schema.json`](../../../tools/schemas/governance-constraints.schema.json)
(`schema_version: governance-constraints-v1`). Each finding carries both
`bicepPropertyPath` and `azurePropertyPath` (always strings — empty `""` when
unresolvable, never `null`), plus `category`, `exemption`, and `classification`
(`"blocker"` | `"auto-remediate"` | `"informational"`; exempted Deny/Modify
blockers downgrade to `"informational"`). Top-level envelope also includes
`policies` (alias of `findings`), `tags_required`, `allowed_locations`, and
`discovery_metadata` (**L0 attestation envelope — MANDATORY**).
For the full per-finding schema and additive fields, read
[`references/schema.md`](references/schema.md).
For the L0 envelope spec (shape, completeness-signature algorithm,
end-of-discovery self-check, refresh handoff, consumer protocol,
backward-compatibility rules), read
[`references/l0-envelope.md`](references/l0-envelope.md).
For the effect classification table and Defender-filter rationale, read
[`references/effect-classification.md`](references/effect-classification.md).
### Preview Markdown
The script also writes a sibling `.preview.md` file (e.g.,
`04-governance-constraints.preview.md`) with the H2 structure matching the
apex-azure-artifacts template. The agent copies this to
`04-governance-constraints.md` and annotates placeholder sections only.
## Reference Index
References are split into two tiers so the agent loads only what it
needs:
**Load-always** (the minimum to drive the core workflow):
- `references/terminal-commands.md` — pre-built batched commands
(Cmd 1–8) for the entire phase.
**Load-on-demand** (read only when the relevant decision point is
reached):
- `references/effect-classification.md` — effect-to-classification mapping, exemption downgrade, Defender filter rationale
- `references/schema.md` — output JSON envelope, `findings[]` structure, additive fields
- `references/l0-envelope.md` — canonical L0 envelope spec (shape,
signature algorithm, self-check, refresh handoff, consumer protocol)
- `references/inline-resolution-gate.md` — Phase 2.7 protocol +
signature/TTL short-circuit
- `references/baseline-check.md` — Phase 0.45 cached-baseline procedure
- `references/policy-override-pattern.md` — structured `override` object shape
- `references/reconciliation-disposition.md` — Phase 2.5 disposition rules
- `references/resume-checks.md` — Phase 0.4 short-circuit conditions (signature, TTL, confirmations)
- `references/discover-output.md` — `discover.py` stdout shape, exit codes, anti-patterns, discovery-signature persistence
## Design Notes
- The collector traverses paginated assignments, definitions, initiatives and
exemptions, resolving referenced definitions as needed; do not assume a fixed call count.
- Cache reuse checks project/subscription/options and COMPLETE envelope freshness,
including positive TTL, nonfuture timestamp and still-valid scoped exemptions.
`--arch` regenerates the preview from current architecture even on a cache hit.
- Signature verification, confirmation bindings and current review inputs remain
consumer gates; the collector's cache hit alone cannot attest them.
- Filtering is based on assignment metadata and effective enforcement, not display-name claims.
Review discovery_summary and diagnostics; do not claim an unmeasured reduction.
## Testing
```bash
pytest .github/skills/apex-azure-governance-discovery/scripts/test_discover.py
# or
npm run test:governance-discovery
```
Fixtures live in `scripts/fixtures/` and simulate `az rest` responses via
`subprocess.check_output` monkeypatching — no Azure account required for tests.