SKILLEMALL.ai
GitHub ↗ RU Sign in

CD luckylobster

Trade prediction markets on Polymarket. Search markets, place orders, and manage positions.

ClawHub Agent Skills author: LuckyLobster v0.10.0 2 files body ≈ 9 628 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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%
75
Quality 40%
58
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Exfiltration net-credential-use skill.md:172
    Credential used in a network call (verify the destination is the intended service)
    curl -H "Authorization: Bearer $LUCKYLOBSTER_API_KEY" \
  • medium Exfiltration net-credential-use skill.md:178
    Credential used in a network call (verify the destination is the intended service)
    curl -H "Authorization: Bearer $LUCKYLOBSTER_API_KEY" \
  • medium Exfiltration net-credential-use skill.md:248
    Credential used in a network call (verify the destination is the intended service)
    curl -H "Authorization: Bearer $LUCKYLOBSTER_API_KEY" \
  • medium Exfiltration net-credential-use skill.md:269
    Credential used in a network call (verify the destination is the intended service)
    curl -H "Authorization: Bearer $LUCKYLOBSTER_API_KEY" \
  • medium Exfiltration net-credential-use skill.md:326
    Credential used in a network call (verify the destination is the intended service)
    curl -H "Authorization: Bearer $LUCKYLOBSTER_API_KEY" \

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

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 9628 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (luckylobster) differs from the folder (luckylobster-skill)
  • 40Execution cost. Instruction body is 9628 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 85Steps. 150 steps, 1 vague phrases
  • 100Failures and branches. 5 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • low 13 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)
  • +3Description length 91: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 47 headings
  • +3Step-by-step instructions: 150 items
  • +4Has examples (79 code blocks)

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

External checks

ClawHub: suspicious
This is a real-money trading skill whose core API use is mostly disclosed, but it also documents persistent server-side automated and copy-trading features that materially expand risk beyond the top-level description.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026