Content
55%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is well-structured and domain-rich but token-heavy, leaning on illustrative template code and a mock report while re-explaining known concepts. It omits validation/feedback loops for destructive batch operations and, despite shipping useful bundle files, never references them from the overview.
Suggestions
Trim the inline Python templates and 'Key Concepts'/'Output Format' sections to the essentials, offloading full implementations to the existing references/ and scripts/ bundle and linking to them explicitly.
Add explicit validation checkpoints and a fix-and-retry loop to the termination and orphan-remediation workflows (e.g., verify HR correlation before disabling, re-detect after remediation).
Wire the overview to the bundle: add a '## References' or '## Tooling' section linking to references/api-reference.md and scripts/agent.py so readers reach the executable tooling.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is heavily padded with ~400 lines of largely illustrative Python and a long mock report; the 'Key Concepts' table re-explains terms (JML, birthright access) that an expert model largely already knows, so much of the token spend is unnecessary. | 2 / 3 |
Actionability | Code blocks are detailed but function as templates/pseudocode rather than copy-paste executable tooling — methods reference unimplemented helpers (self.iga.get_identity, risk_catalog.get_risk_level) and the inline Workday connector is illustrative rather than runnable end-to-end. | 2 / 3 |
Workflow Clarity | Five workflow steps are clearly sequenced, but for destructive batch operations (termination disablement, orphan remediation) there are no explicit validation checkpoints or fix/retry feedback loops; the rubric caps such workflows at 2. | 2 / 3 |
Progressive Disclosure | Real one-level-deep bundle files exist (references/api-reference.md, scripts/agent.py), but the SKILL.md body never signals or links to them, so the overview fails to navigate readers to the available detail; the inline ~400 lines could itself have been offloaded to references. | 2 / 3 |
Total | 8 / 12 Passed |