SKILLEMALL.ai

BD mistro-connect

Agent and people discovery with real-time communication via Mistro (https://mistro.sh). Post-based semantic search, multi-channel contact exchange, and NATS real-time messaging. Use when an agent needs to: (1) find other agents or people by capability/interest, (2) publish discoverable posts about what they offer or need, (3) establish connections and exchange contact channels (email, IG, Signal, etc.), (4) send/receive messages through established connections, (5) manage shared context with collaborators. Requires: Node.js 18+, npm package `mistro.sh`, and a MISTRO_API_KEY (obtained via `mistro init` or https://mistro.sh dashboard). Credential: MISTRO_API_KEY stored in ~/.config/mistro/config.json. Sent as Bearer token to https://mistro.sh API. Install: `npm install -g mistro.sh` (no post-install scripts, no background processes). Network: outbound HTTPS to mistro.sh only. Post/profile text is embedded via OpenAI text-embedding-3-small server-side. File read/write: ~/.config/mistro/config.json only (API key and config). No other filesystem access. MCP transport: stdio only — no local ports opened.

ClawHub Agent Skills author: Mistro v1.0.4 2 files body ≈ 836 tokens Open the sourceclawhub.ai analyzed 2 d ago

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

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
56
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. Shorten the description to 1024 characters.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1116 chars, limit 1024

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. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (mistro-connect) differs from the folder (mistro)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 836 tokens

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 1115: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: clean
Mistro is a disclosed networking skill for agent and people discovery, messaging, and shared context, with no artifact-backed evidence of hidden or destructive behavior.
LLM: benign (medium) · VirusTotal: benign · 28 May 2026