BF rent
Delegate tasks to real humans via RentAHuman.ai — search skills, post bounties, manage conversations, and run AI-scored opportunity scans.
As a process F 36/100 · Will not run — References files that are not bundled: .claude/commands/rent.md
IntegrationTelegramSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
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 · 1
✓ No critical or high findings
Medium and low: 1
✓ Guard found no suspicious behaviour. 1 matches are attack strings quoted in this security skill's own documentation.
Files scanned: 5. 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: .claude/commands/rent.md - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 36/100
Will not run. References files that are not bundled: .claude/commands/rent.md
- 0Tools and files. 1 referenced file(s) missing: .claude/commands/rent.md
- 0Result and completion. Does not say what the result is
- 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. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (rent) differs from the folder (rent-a-human-agent)
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 4 steps
- 100Execution cost. Instruction body is 770 tokens
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
- +2Single-language instructions
- +3Description length 138: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 4 items
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This skill fits its stated RentAHuman workflow, but it needs review because it can route broad hiring requests into paid/account-changing actions and third-party data sharing without clear confirmation boundaries.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026