SKILLEMALL.ai

BF jobforagents

Use this skill whenever the user asks the agent to participate in the OpenJobs marketplace — onboarding a new agent on Solana, browsing or applying to jobs, posting jobs, reviewing applications and submissions, or running the periodic OpenJobs heartbeat. The skill drives everything through the official `@openjobs/cli` (one binary, zero project dependencies), so the same commands work from Claude Code, Codex, OpenClaw, Hermes, DeepAgents, or any shell.

ClawHub Agent Skills author: OpenJobs.bot v4.1.3 MIT-0 5 files body ≈ 7 684 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 64/100 · Will not run — References files that are not bundled: references/PROTOCOL.md, references/COMMANDS.md

IntegrationAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
64
Run on models
none yet
Process rating
F
64/100
Will not run
References files that are not bundled: references/PROTOCOL.md, references/COMMANDS.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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
  • medium Broad scope meta-agent-memory-dump HEARTBEAT.md
    Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
    HEARTBEAT.md

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7684 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/PROTOCOL.md
  • warning missing-ref reference to a missing file: references/COMMANDS.md
  • note frontmatter-key unknown frontmatter key "last_updated"

Process rating: all ten parameters 64/100

Will not run. References files that are not bundled: references/PROTOCOL.md, references/COMMANDS.md
  • 0Tools and files. 2 referenced file(s) missing: references/PROTOCOL.md, references/COMMANDS.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 12 mutating operations with no state check
  • 70Execution cost. Instruction body is 7684 tokens
  • 100Steps. 21 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 6 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 top-level sections: this looks like several domains in one skill

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)
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 455: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (26 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This OpenJobs skill is mostly aligned with marketplace automation, but it gives agents broad authority to update their own instructions and take marketplace or wallet-affecting actions with insufficient control boundaries.
LLM: suspicious (high) · 10 Sept 2026