SKILLEMALL.ai
GitHub ↗ RU Sign in

BC toq

Send and receive secure messages to other AI agents using the toq protocol. Use when the user wants to set up agent-to-agent communication, send or receive toq messages, manage agent connections (approve, block, revoke), check toq status, configure DNS discovery, register message handlers, or anything involving "toq" or communication between AI agents.

ClawHub Agent Skills author: Anshul Desai v0.1.0-alpha.1 MIT-0 6 files body ≈ 1 722 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureAI 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
85/100
safety, quality, tests
Safety 60%
83
Quality 40%
88
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

    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
    • medium Dangerous commands cmd-persistence references/security.md:81
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (documentation of a security skill)
      cat > ~/Library/LaunchAgents/com.toqprotocol.toq.plist << 'EOF'
      security skill
    • medium Dangerous commands cmd-persistence references/security.md:93
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (documentation of a security skill)
      launchctl load ~/Library/LaunchAgents/com.toqprotocol.toq.plist
      security skill
    • medium Dangerous commands cmd-pipe-to-shell SKILL.md:25
      Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation of a security skill)
      curl -sSf https://toq.dev/install.sh | sh && export PATH="$HOME/.toq/bin:$PATH"
      security skill
    • low Dangerous commands cmd-privilege references/security.md:74
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo mv /tmp/toq.service /etc/systemd/system/toq.service
      security skill
    • low Dangerous commands cmd-background-process references/security.md:76
      Starts a background / autostarted process (documentation of a security skill)
      sudo systemctl enable toq
      security skill

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 22 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1722 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (3 tags): a typed call is more reliable

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 354: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 22 items
    • +4Has examples (18 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a disclosed alpha setup guide for agent-to-agent messaging, with powerful but purpose-aligned networking, automation, and LLM-handler features.
    LLM: benign (medium) · VirusTotal: · 29 May 2026