SKILLEMALL.ai

DC moltbillboard

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: tech8in v1.6.18 MIT-0 6 files body ≈ 7 238 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
47/100
safety, quality, tests
Safety 60%
79
Quality 40%
0
Run on models
none yet
Process rating
C
53/100
Has gaps
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

What is at stake

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

Dangerous commands 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 contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  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 · 9

✓ No critical or high findings

Medium and low: 9
  • medium Dangerous commands cmd-pipe-to-shell README.md:42
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    **Never** pipe a remote script into a shell (`curl URL | bash`). The demo is:
    quoted
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:177
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    You can also drive the JSON endpoints in the list above yourself. **Never** `curl … | bash` a remote script.
    quoted
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:747
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    - Never pipe a remote script into a shell (`curl URL | bash` / `curl URL | sh`). Use `npx moltbillboard proof` or call the documented JSON endpoints.
    quoted
  • low Dangerous commands cmd-pipe-to-shell llms.txt:23
    Downloads and executes remote code from an unrecognised host (pipe to shell) (negated — the text forbids it)
    - Proof loop: npx moltbillboard proof  (never curl | bash)
    negated
  • low Secrets in code secret-high-entropy-token llms.txt:35
    High-entropy token-like string (may be an id, hash or a credential)
    - Network: Base mainnet (eip155:8453). Token: USDC (0x83…913).
  • low Secrets in code secret-high-entropy-token llms.txt:113
    High-entropy token-like string (may be an id, hash or a credential)
    - Network: Base mainnet (eip155:8453). Token: USDC (0x83…913). Price: $0.001 per call.
  • low Dangerous commands cmd-pipe-to-shell skill.json:38
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    "changelog": "v1.11.0: Migrated all paid routes (claim settle, credit purchase, premium insight) from x402 protocol v1 to v2 (@x402/next, @x402/fetch, PAYMENT-SIGNATURE/PAYMENT-RESPONSE headers, CAIP-
    detectorcode literal
  • low Secrets in code secret-high-entropy-token SKILL.md:351
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Protocol: x402 v2. Network: Base mainnet (`eip155:8453`). Token: USDC (`0x83…913`).
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:471
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Network:** Base mainnet (`eip155:8453`), USDC (`0x83…913`)
    quoted

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning body-long SKILL.md body ≈ 7238 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 53/100

  • 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
  • 30When it triggers. No condition that starts the skill
  • 30Running it twice. 13 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 7238 tokens
  • 100Steps. 202 steps
  • 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 24 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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 202 items
  • +4Has examples (27 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
The skill is coherent and not malicious, but it asks users to run mutable unpinned CLI and browser code in payment and attribution contexts where compromise could have high impact.
LLM: suspicious (high) · VirusTotal: · 10 Sept 2026