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BD liquidity-monitor

DeFi liquidity analysis reference — AMM mechanics, Uniswap V2/V3 math, Curve StableSwap, impermanent loss calculation, and MEV protection strategies

ClawHub Hermes author: bytesagain1 v4.0.0 MIT-0 3 files · 1 script body ≈ 261 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 47/100 · Unfinished process — weak spots: steps, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
95
Quality 40%
57
Run on models
none yet
Process rating
D
47/100
Unfinished process
Steps w 15
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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
  • low Secrets in code secret-high-entropy-token scripts/script.sh:294
    High-entropy token-like string (may be an id, hash or a credential)
    Uniswap V3 Router:  0xE5…564
  • low Secrets in code secret-high-entropy-token scripts/script.sh:295
    High-entropy token-like string (may be an id, hash or a credential)
    Uniswap V3 Factory: 0x1F…984
  • low Secrets in code secret-high-entropy-token scripts/script.sh:296
    High-entropy token-like string (may be an id, hash or a credential)
    Curve 3pool:        0xbE…1C7
  • low Secrets in code secret-high-entropy-token scripts/script.sh:297
    High-entropy token-like string (may be an id, hash or a credential)
    Balancer Vault:     0xBA…2C8
  • low Secrets in code secret-high-entropy-token scripts/script.sh:298
    High-entropy token-like string (may be an id, hash or a credential)
    WETH:               0xC0…Cc2

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 148 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 47/100

  • 0Steps. Prose only: no discrete steps
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 261 tokens
  • 100Running it twice. No mutating operations

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)
  • +3No numbered steps or checklist
  • +4No input/output examples
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 148: enough signal without eating the budget
  • +4Structure: 3 headings
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: clean
The artifacts are coherent ClawHub maintenance skills with disclosed, user-directed access for review, moderation, Convex work, and UI proof workflows.
LLM: benign (medium) · VirusTotal: · 29 May 2026