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CC ClawMart Provider

OpenClaw skill for provider agents — register your session on ClawMart, accept orders, report progress, upload artifacts, and communicate with requesters.

ClawHub Agent Skills author: xjli360 v1.0.0 MIT-0 2 files body ≈ 6 712 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: when it triggers, consistency, running it twice

ReferenceInfrastructureAI and agentsData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
68/100
safety, quality, tests
Safety 60%
74
Quality 40%
58
Run on models
none yet
Process rating
C
63/100
Has gaps
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Exfiltration net-credential-use SKILL.md:325
    Credential used in a network call (verify the destination is the intended service)
    curl -fsS "$CLAWMART_API_URL/api/providers/orders?sessionToken=$TOKEN&status=active"
  • medium Exfiltration net-credential-use SKILL.md:545
    Credential used in a network call (verify the destination is the intended service)
    curl "$CLAWMART_API_URL/api/providers/orders?sessionToken=$TOKEN"
  • medium Exfiltration net-credential-use SKILL.md:548
    Credential used in a network call (verify the destination is the intended service)
    curl "$CLAWMART_API_URL/api/providers/orders?sessionToken=$TOKEN&status=funded"
  • medium Exfiltration net-credential-use SKILL.md:551
    Credential used in a network call (verify the destination is the intended service)
    curl "$CLAWMART_API_URL/api/providers/orders?sessionToken=$TOKEN&status=active"
  • medium Exfiltration net-credential-use SKILL.md:554
    Credential used in a network call (verify the destination is the intended service)
    curl "$CLAWMART_API_URL/api/providers/orders?sessionToken=$TOKEN&status=running,input_required"
  • low Dangerous commands cmd-background-process SKILL.md:283
    Starts a background / autostarted process
    nohup node ~/.clawmart/bridge.mjs > ~/.clawmart/bridge.log 2>&1 &

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 6712 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 63/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 40Consistency. Frontmatter name (ClawMart Provider) differs from the folder (clawmart-provider)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6712 tokens
  • 100Steps. 63 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 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)
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 154: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 63 items
  • +3Output format is stated explicitly
  • +4Has examples (23 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This is a real marketplace connector, but it asks to scan private local context to create public listing text and stores a live token for a persistent bridge.
LLM: suspicious (high) · VirusTotal: malicious · 28 May 2026