SKILLEMALL.ai

AC crypto-research-checklist

Run a fundamentals checklist on any crypto project before you invest. Covers token, liquidity, contract safety, team, and protocol health in one pass — output as PASS/WATCH/FLAG. Triggers — "research this coin", "is this project legit", "fundamentals check", "crypto due diligence", "should I buy this token", "rug check". Free trial at /v1/query, then $0.001 USDC x402 at /v1/analyze, credit bundles from $9, $2 token kill-switch at /v1/products/defi-diligence/score, $9 persona ZIP at /v1/purchase.

ClawHub Claude Code author: trdyqs6bsr-lksnf v1.2.0 MIT-0 2 files body ≈ 1 361 tokens Open the sourceclawhub.ai analyzed 3 d ago

Run a fundamentals checklist on any crypto project before you invest.

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

TemplateTelegramData and analyticsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
98
Quality 40%
80
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token SKILL.md:87
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Base: `0x7F…C38`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:88
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - Solana: `5igX…m4Z`
    quoted

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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 60/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1361 tokens
  • 100Progress reporting. Reports progress
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 500: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 45 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
The skill can perform crypto project checks, but it also pushes payments, bundles, referrals, and subscriptions in a high-risk financial context.
LLM: suspicious (high) · 10 Aug 2026