Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is an exemplary lean workflow: exact commands, explicit stop/approval checkpoints, feedback loops for edits and failures, and strong safety rules including treating page instructions as data. Its only real weakness is progressive disclosure — it leans on several files (tracker script, profile.yaml, packets) that are not part of the reviewed bundle, leaving the structure unverifiable.
Suggestions
Ship scripts/tracker.py inside the skill's scripts/ directory (or document its command interface in a short reference file) so the invoked commands actually resolve from the bundle.
Add a one-level-deep pointer explaining the profile.yaml "regions block" (or bundle profile.yaml's schema) so the region-based rules for work authorisation, sponsorship and salary are reachable.
Clarify where the "NEEDS DAISY" convention is defined (e.g., a note in the packet README or a reference file) so the term is self-contained for a fresh session.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is ~40 lines of pure instruction with zero filler: no explanations of concepts Claude already knows, no padded sections — "Fill every field you can from profile.yaml and the packet" and "STOP and wait. Do not click submit" are maximally lean. Every token earns its place, matching the 'lean and efficient' anchor; there is no over-explanation to justify a 4. | 5 / 5 |
Actionability | Guidance is fully concrete and executable: exact commands ("python3 scripts/tracker.py get <app_id>", "set <app_id> awaiting_approval"), an enumerated packet file list, explicit decision branches for approve/skip/edit, and a defined failure path ("If there is no confirmation evidence, set status failed"). The common cases are all covered; the minor undefined convention ("NEEDS DAISY items") is external data explicitly routed to the user, not a gap in instructions. | 5 / 5 |
Workflow Clarity | Steps 1-9 form a clear sequence with explicit validation checkpoints and feedback loops: empty-queue check, asking for NEEDS DAISY items upfront, stopping at login/CAPTCHA/MFA, a filled/blank-field review table, a hard STOP before submit, an edit-apply-redisplay loop, and confirmation-evidence verification before reporting success. This is a consequential/batch-capable workflow ("all" mode) whose validation is thorough enough for the top anchor — the destructive-op cap does not apply because the approval gate and evidence check are explicit. | 5 / 5 |
Progressive Disclosure | The body itself is well-sectioned (Inputs/Steps/Rules), but it depends on referenced files — "scripts/tracker.py", the packet files (job.md, cv.md, answers.md, ...), "profile.yaml" and its "regions block" — none of which exist in the skill's bundle (no scripts/, references/, or assets/ directories are present), so the split cannot be verified and key referenced semantics (e.g., the regions block) are unreachable. The under-50-line simple-skill exception does not apply because the skill does need external files, and those files are missing from the bundle; it is not a 2 since nothing is wrongly inlined and no references are buried. | 3 / 5 |
Total | 18 / 20 Passed |