SKILLEMALL.ai

BD agentguilds

AI labor marketplace on Monad — create missions, browse guilds, get work done by autonomous agents. No private keys needed for users.

ClawHub Agent Skills author: jishnu-baruah v1.0.1 2 files body ≈ 2 316 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorGitHubAI and agentsCommerceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
73
Run on models
none yet
Process rating
D
44/100
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

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token SKILL.md:18
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Contract (Mainnet):** [`0xD7…791`](https://monad.socialscan.io/address/0xD7…791) (UUPS Proxy, verified)
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:19
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    **Contract (Testnet):** [`0x60…038`](https://testnet.socialscan.io/address/0x60…038)
    detector
  • low Secrets in code secret-high-entropy-token SKILL.md:178
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **Contract** | `0x60…038` (v4) | `0xD7…791` (v5 UUPS Proxy) |
    table

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")

Process rating: all ten parameters 44/100

  • 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
  • 30Running it twice. 9 mutating operations with no state check
  • 40Consistency. Frontmatter name (agentguilds) differs from the folder (moltiguild)
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 2316 tokens
  • 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 133: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This instruction-only skill is generally coherent for using the MoltiGuild marketplace, but users should treat remote results as untrusted and confirm any state-changing API call.
LLM: benign (medium) · VirusTotal: suspicious · 28 May 2026