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skills/regulatory-risk-assessment/SKILL.md
mathiasandClaude Opus 4.8 8f14c572b9
release / tag (push) Successful in 1s
fix(skills): add YAML frontmatter to telos-load + regulatory-risk-assessment
The two new skills shipped without the name/description frontmatter every
other skill carries, so harnesses surfaced them as a bare directory name
with no description to match against intent. Add frontmatter (body unchanged).

Bump-Type: patch

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-18 18:19:19 +02:00

111 lines
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Markdown

---
name: regulatory-risk-assessment
description: Produce a structured regulatory risk assessment / risk-register entry for regulated-industry features (banking, payments, PSD2/PSR, DORA, AML). Use when filing a CAD issue that needs a Risk:LOW/MEDIUM/HIGH level, or designing features touching payments, auth, data storage, or external APIs ("what are the risks?", "compliance gate", "risk register").
---
# regulatory-risk-assessment
Produce a structured regulatory risk assessment for a feature, component,
or integration — generating a risk register entry that satisfies the
audit requirements of regulated-industry clients (banking, finance,
insurance, PSD2/PSR, DORA, AML/KYC contexts).
**Use when:**
- Filing a Gitea issue dispatched via CAD (needs Risk: LOW/MEDIUM/HIGH)
- Designing a feature touching payments, auth, data storage, external APIs
- Preparing a client deliverable in a regulated industry
- "what are the risks?" / "compliance gate" / "risk register" in session
**Do not use for:** routine refactoring, docs-only changes, internal
tooling with no external data or user impact.
## What this skill produces
A docs/risk-register.md section with this schema:
### R-[DOMAIN]-[NN] — [Short risk title]
| Field | Value |
|-------|-------|
| Risk | What could go wrong (concrete, specific) |
| Regulatory reference | Which obligation/regulation, if any |
| Likelihood | H / M / L |
| Impact | H / M / L |
| Overall | H / M / L (highest of likelihood x impact) |
| Mitigation | What we are doing about it |
| Validation | Test name or Gitea issue number |
| Status | open / mitigated / accepted |
Risk ID namespace:
R-AUTH-NN authentication and authorization
R-DATA-NN data storage, retention, privacy
R-API-NN external API integration
R-PAY-NN payment and financial transactions
R-INFRA-NN infrastructure and availability
R-AGENT-NN agentic / AI execution
R-COMP-NN compliance and regulatory obligation
## Mechanics
Step 1 — Scope the assessment
1. What external systems does this touch?
2. What user data does it read, write, or transmit?
3. What happens on silent failure? Loud failure?
4. What is the blast radius of a worst-case bug?
5. Is a regulation implicated?
Step 2 — Enumerate risks (common examples)
Auth/OAuth: token theft, refresh failure, insufficient scope
Email/Gmail: misclassification archives HUMAN thread, PII in logs
Payment/PAIN.001: wrong amount, duplicate submission, missing field
Agentic: irreversible action without approval, prompt injection, spirals
Infra: single point of failure, secret in logs
Step 3 — Declare overall risk level
Highest individual risk = feature overall level (LOW/MEDIUM/HIGH).
This is the **Risk:** declaration in the CAD agent-ready issue contract.
Step 4 — Write validations
Every mitigation needs a validation:
- Specific test name (TestXxx)
- Gitea issue number
- Manual verification step with acceptance criteria
Not acceptable: "will test later", "review manually"
Step 5 — Update docs/risk-register.md
Append entries. Create if absent:
# Risk Register
All entries follow R-[DOMAIN]-[NN] schema.
See skills/regulatory-risk-assessment/SKILL.md for conventions.
Last updated: [date]
## Integration with assessor-loop
For complex regulated-industry features (PSD2/PSR, DORA, AML), route to
mathias/assessor-loop for deep obligation decomposition first.
Use this skill standalone for internal tooling or general engineering risk.
## Integration with CAD
Every CAD-dispatched issue must include:
**Risk:** LOW | MEDIUM | HIGH
CAD pre-flight (agentsquad#29) rejects issues without it.
If genuinely no risks: declare LOW and note why.
## Example entry
### R-DATA-01 — Email misclassification archives a HUMAN thread
| Field | Value |
|-------|-------|
| Risk | LLM labels a real person's email as NOISE, causing auto-archive |
| Regulatory reference | None (internal) |
| Likelihood | M |
| Impact | H |
| Overall | H |
| Mitigation | Phase 1 read-only; HUMAN class never auto-archived in any phase |
| Validation | TestClassifier_HumanThreadNeverArchived; 1-week Phase 1 review |
| Status | open |