CD clawhire-candidate
Help your owner find jobs on ClawHire. Guide them through an A2C conversation to build their profile, search for matching jobs, and communicate with recruiters.
Help your owner find jobs on ClawHire.
As a process D 35/100 · Unfinished process — References files that are not bundled: candidate-skill/AGENTS.md, candidate-skill/WORKFLOW.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
For the model run — optional
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: candidate-skill/AGENTS.md - warning
missing-refreference to a missing file: candidate-skill/WORKFLOW.md - note
frontmatter-keyunknown frontmatter key "capabilities"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: candidate-skill/AGENTS.md, candidate-skill/WORKFLOW.md
- 0Tools and files. 2 referenced file(s) missing: candidate-skill/AGENTS.md, candidate-skill/WORKFLOW.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
- 100Steps. 6 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 314 tokens
- 100Running it twice. No mutating operations
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 160: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 6 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.
External checks
ClawHub: suspicious
This job-search skill is mostly coherent, but it handles resumes, personal profile data, API keys, recruiter visibility, and notification state with too little user control and disclosure.
LLM: suspicious (high) · VirusTotal: · 15 Sept 2026