Install
$ agentstack add skill-cloudchef-atlasclaw-providers-preapproval-agent ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Preapproval Agent
Autonomous backend agent for approval pre-review. Not a human confirmation flow.
Purpose
When triggered by a webhook:
- Fetch and analyze approval request details
- Evaluate request reasonableness with the shared pre-approval analysis contract
- Execute approve/reject via existing approval skills
- Return structured decision summary
Trigger Conditions
This skill activates when:
- Webhook payload targets approval pre-review
agent_identityisagent-approver- Valid
request_idis provided
Robot Admin Execution
For webhook-driven backend execution, run this agent against an explicitly selected SmartCMP provider instance with a robot/admin credential. Set ATLASCLAW_PROVIDER_INSTANCE to the intended instance name; if that instance is not configured, execution must fail closed rather than falling back to prod or another instance.
The robot provider instance should use a SmartCMP cmp_tk_* provider token when available. The shared scripts send those tokens as Authorization: Bearer and keep non-cmp_tk_* session tokens on the existing CloudChef-Authenticate header.
Treat ATLASCLAW_USER_ID=webhook-* as the AtlasClaw trigger identity, not as a CMP actor. Approval execution uses ../approval/scripts/approve.py and ../approval/scripts/reject.py, which load the selected robot credential through _common.require_config().
Use this mode only for robot profiles whose allowed_skills include smartcmp:preapproval-agent. The same SmartCMP robot profile may also allow smartcmp:request-decomposition-agent when the same robot/admin account is approved for both workflows.
Inputs
| Input | Type | Required | Description | |-------|------|----------|-------------| | provider_instance | string | Yes | CMP provider instance name (e.g., cmp-prod) | | robot_profile | string | For webhook robot mode | Robot profile configured on the selected provider instance | | agent_identity | string | Yes | Must be agent-approver | | request_id | string | Yes | SmartCMP Request ID for execution, e.g. RES20260505000010, TIC20260502000003, or CHG20260413000011 | | trigger_source | string | No | Source label (e.g., cmp-webhook) | | policy_mode | string | No | Policy preset (default: balanced) |
Validation Rules:
- If
request_idis missing → Stop immediately - If
request_idcannot resolve to a pending approval activity → Fail closed - If
agent_identity≠agent-approver→ Stop immediately
Orchestrated Skills
This agent does NOT access the platform directly. It orchestrates:
| Skill | Purpose | |-------|---------| | smartcmp_preapproval_get_request_detail | Fetch pending approval details | | smartcmp_preapproval_get_catalog_detail | Fetch the service catalog/card Markdown by catalogId | | smartcmp_preapproval_analyze_request | Run the shared read-only pre-approval evaluator | | smartcmp_preapproval_approve | Execute approval with reason | | smartcmp_preapproval_reject | Execute rejection with reason |
Workflow
1. Validate Inputs
├── Check provider_instance, agent_identity
└── Verify request_id exists
↓
2. Fetch Approval Context
└── smartcmp_preapproval_get_request_detail → Verify request_id
↓
3. Build Review Summary
├── Service/request name
├── Requester notes
├── Full parameters
├── Cost estimate
└── Approval history
↓
4. Evaluate Against Shared Analysis
└── smartcmp_preapproval_analyze_request → apply catalog policy and default rubric
↓
5. Choose Outcome
├── approve
├── reject_with_guidance
└── manual_review_required
↓
6. Execute Decision
├── approve → smartcmp_preapproval_approve --reason ""
├── reject → smartcmp_preapproval_reject --reason ""
└── manual → stop without mutating SmartCMP and return manual-review guidance
↓
7. Return Structured Result
Shared Analysis Contract
Use smartcmp_preapproval_analyze_request as the common evaluator before any automated decision. The same script powers user-facing read-only analysis, so approval reasoning does not drift between the manual UI flow and the backend preapproval agent.
The analysis result is advisory. This agent is the only component in this workflow that may subsequently call smartcmp_preapproval_approve or smartcmp_preapproval_reject, and it must do so only after validating the analysis output and request context.
Catalog Policy Override
For every pending approval, fetch the service catalog/card by the catalogId returned from approval metadata. If catalogId is missing, fail closed and do not approve.
If the catalog Markdown contains # Pre Approval Instructions, that section is the authoritative approval policy for this request. Also accept # Preapproval Instructions and # Pre-Approval Instructions as heading variants.
Only use the built-in Decision Rubric when the catalog/card was fetched successfully and no pre-approval section exists.
If the catalog/card cannot be fetched, fail closed and do not approve. If catalog pre-approval instructions exist but cannot be deterministically evaluated by the shared analyzer, require manual review instead of speculative approval.
Decision Rubric
Approve When (most satisfied):
| Factor | Criteria | |--------|----------| | Business Purpose | Requester explains what the resource is for | | Resource Fit | Size, environment, options proportional to stated use | | Configuration | Parameters don't conflict, technically plausible | | Least-Necessary | No excessive CPU, memory, storage without justification | | Environment | Production requests have stronger rationale | | Cost | Proportionate to described scenario | | Actionable Notes | Description concrete enough for approval |
Reject When (any true):
- No meaningful business justification
- Resources obviously oversized for stated need
- Production resources for vague/low-risk scenarios
- Request incomplete, contradictory, or copy-pasted
- Unusual/expensive resources without explanation
- Material risk with insufficient data
Decision Style
> Be strict, concise, and auditable.
- Do NOT invent facts missing from request
- Do NOT ask requester follow-up questions
- Prefer rejection with guidance over speculative approval
- Explain what would make request approvable
Comment Templates
Approval example:
Approved by agent pre-review. Business purpose clear, resource specs reasonable.
Rejection example:
Rejected by agent pre-review. Missing business justification, resource specs, and target environment. Please resubmit with details.
Output Contract
{
"decision": "approve",
"confidence": "high",
"reasoning": [
"Business purpose is explicit.",
"Requested capacity proportional to described workload."
],
"improvement_suggestions": [],
"provider_action": {
"skill": "../approval/scripts/approve.py",
"success": true
}
}
For rejections, include improvement_suggestions.
Failure Handling
| Scenario | Action | |----------|--------| | Detail retrieval fails | Return failure, do NOT approve | | Approval execution fails | Return provider error as-is | | Rejection execution fails | Return provider error as-is | | Ambiguous/expensive/high-risk | Return manual-review guidance without mutating SmartCMP |
References
- [review-guidelines.md](references/review-guidelines.md) — Detailed review criteria
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: CloudChef
- Source: CloudChef/atlasclaw-providers
- License: Apache-2.0
- Homepage: https://atlasclaw.ai/en/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.