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BD intercomswap

IntercomSwap (OpenClaw-hardened): operator-run, manual-only P2P RFQ swaps that negotiate over Intercom sidechannels and settle BTC (Lightning) <-> USDT (Solana) via an escrow program. High-risk financial operations; require explicit human approval for any fund-moving action.

modbender/skill-library-mcp Claude Code author: modbender MIT 1 file body ≈ 894 tokens Open the sourcegithub.com↗ analyzed 2 d ago

IntercomSwap (OpenClaw-hardened): operator-run, manual-only P2P RFQ swaps that negotiate over Intercom sidechannels and settle BTC (Lightning) <-> USDT…

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubSales and CRMAI and agentstype 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
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
D
39/100
Unfinished process
Result and completion w 14
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.
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 · 0

✓ No critical or high findings

Files scanned: 1. 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"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "always"
  • note frontmatter-key unknown frontmatter key "autonomous_invocation"
  • note frontmatter-key unknown frontmatter key "disable-autonomous-invocation"
  • note frontmatter-key unknown frontmatter key "require-user-approval"
  • note frontmatter-key unknown frontmatter key "requires_network"
  • note frontmatter-key unknown frontmatter key "requires_local_exec"
  • note frontmatter-key unknown frontmatter key "required_binaries"
  • note frontmatter-key unknown frontmatter key "optional_binaries"
  • note frontmatter-key unknown frontmatter key "required_env_vars"
  • note frontmatter-key unknown frontmatter key "optional_env_vars"
  • note frontmatter-key unknown frontmatter key "required_credentials"
  • note frontmatter-key unknown frontmatter key "sensitive_paths"
  • note frontmatter-key unknown frontmatter key "approval_required_for"
  • note frontmatter-key unknown frontmatter key "risk_notes"

Process rating: all ten parameters 39/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (intercomswap) differs from the folder (intercom-swap)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 31 steps
  • 100Execution cost. Instruction body is 894 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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 275: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 31 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.