AF recruiting-pro
Hiring workflow management with structured processes and candidate tracking. Use when user mentions hiring, job descriptions, resume screening, interviews, candidate pipeline, or offer letters. Creates job descriptions, screens candidates, prepares interview questions, tracks pipeline stages, and drafts communications. All candidate data stored locally. NEVER makes hiring decisions or replaces human judgment.
As a process F 28/100 · Will not run — References files that are not bundled: references/interview-prep.md, references/communications.md, references/fair-hiring.md
The same skill appears in 1 more place: ClawHub
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/interview-prep.md - warning
missing-refreference to a missing file: references/communications.md - warning
missing-refreference to a missing file: references/fair-hiring.md
Process rating: all ten parameters 28/100
- 0Tools and files. 3 referenced file(s) missing: references/interview-prep.md, references/communications.md, references/fair-hiring.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (recruiting-pro) differs from the folder (recruiting)
- 100Steps. 24 steps
- 100Execution cost. Instruction body is 988 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 412: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.