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Delegated Work Readiness Reviewer
Audits multi-step task delegation to ensure tools are properly permissioned, gated, and observable before execution.
$7.99
Delegated Work Readiness Reviewer
Example session with this skill installed
Review my plan to delegate lead enrichment to an AI agent. It needs to read LinkedIn URLs from a Google Sheet, use Apollo API to find emails, and update the Sheet. I have API keys for both.
- Read your context and instructions
- Compiled the delegated work readiness
The delegation plan for
Lead Enrichment Automation has been reviewed. The review identified a critical need for duplicate-action prevention and a human gate before final sheet updates.
Delegated Work Readiness Decision Pack
Final Readiness Verdict: READY WITH CONDITIONS
Readiness Score: 72/100
1. Delegation Map
| Step | Objective | Tool | Action Class | Evidence |
|---|---|---|---|---|
| 01 | Read LinkedIn URLs | Google Sheets | READ_ONLY | Row data array |
| 02 | Enrich contact data | Apollo API | READ_ONLY | JSON response |
| 03 | Write enriched data | Google Sheets | REVERSIBLE_WRITE | Updated cell values |
2. Tool-Scope Matrix
| Tool | Access State | Required Scope | Readiness |
|---|---|---|---|
| Google Sheets | DECLARED | spreadsheets.values | CONDITION: Verify write permission |
| Apollo API | DECLARED | people.match | READY |
3. Approval Gates & Human Control
- Gate ID: AG-01
- Controlled Step: Step 03 (Write to Sheet)
- Approver: Task Owner
- Rule:
BLOCK_UNTIL_APPROVED. Review enrichment quality for the first 10 rows before allowing bulk write.
4. Exception Rules
- Apollo Rate Limit: Pause execution for 60 seconds, then retry once.
- Invalid URL: Log to "Errors" tab and proceed to next row.
5. Completion Evidence Plan
- Step 01: Source list of 50 URLs retrieved.
- Step 02: Match rate percentage and Apollo Request IDs.
- Step 03: Final spreadsheet version ID and timestamped log.
Next steps
- Verify that the Google Sheets API key has
Writepermissions, not justRead. - Define the "Match Quality" threshold that triggers a manual review.
- Implement a "Processed" checkbox in the sheet to prevent duplicate API billing on retries.
Connects securely to your tools. The creator never sees your data.
About this skill
Delegating complex tasks to AI agents or software tools often fails because of vague permissions, missing data, or hidden assumptions. This skill prevents failed runs and security risks by auditing your delegation plan before you execute. It transforms scattered task descriptions into a structured readiness decision pack, ensuring every step is permissioned, observable, and safely gated.
What it does
- Delegation mapping breaks down multi-step tasks into tool-specific actions with defined dependencies.
- Tool-scope auditing verifies if tools have the required read, write, or admin capabilities for each step.
- Human-gate identification flags consequential, financial, or irreversible actions that require manual approval.
- Evidence planning defines exactly what data proves a task is finished beyond just a "success" signal.
- Failure modeling creates recovery paths and exception rules for tool outages or permission denials.
How it works
- Analyze input data regarding your objective, available tools, data sources, and deadlines.
- Decompose the workflow into a matrix of tool capabilities, action classes, and approval boundaries.
- Run the readiness rubric to score the plan across categories like observability and human control.
- Generate the Decision Pack which includes the final verdict, implementation checklist, and recovery paths.
Frameworks & tools
This skill is platform-agnostic and works with any stack utilizing AI agents, workflow automation tools like Make or n8n, and custom API integrations.
Why this beats prompting it yourself
Generic prompts often ignore the "silent killers" of automation, such as idempotency risks and unverifiable completion claims. This skill enforces a strict safety rubric that prevents AI from inventing access or bypassing human oversight.
Use cases
- Auditing a new AI agent before giving it write access to a production database.
- Planning a multi-tool automated marketing campaign with specific budget gates.
- Reviewing a technical migration plan to ensure rollback paths are evidenced.
Known limitations
Does not perform the actual execution or grant technical permissions. Requires the buyer to provide specific details on tool access states and data freshness.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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