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mustang

WormAgent — open, multi-channel AI agent gateway (Node/TS)

Install / Use

npx skills add BlackXV2vip/wormagent --skill mustang

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

69/100

Category

Automation

Supported Platforms

Universal

Our assessment of mustang

mustang scores 69/100 on our quality scale, 2684th of 2,913 Automation skills we index.

Its SKILL.md is 2.6 KB long, well organised into 10 sections with 6 code examples: a solid amount of guidance for an agent.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
26/30
Structure
20/20
Description
8/15
Adoption
0/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so mustang is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

mustang compared with similar skills

All 4 of these similar skills score higher than mustang; compare them before choosing.

SkillScoreStarsUpdatedFormat
mustang (this skill)by BlackXV2vip690todaySKILL.md
Agent-Reachby Panniantong10098.0k1d agoCLAUDE.md
Scraplingby D4Vinci10088.1ktodayMCP Server
rufloby ruvnet10075.4ktodayMCP Server
algorithmic-artby anthropics100177.9k24d agoSKILL.md

Frequently asked questions

How do I install mustang?
Run npx skills add BlackXV2vip/wormagent --skill mustang. The install tabs above show the steps for each supported agent.
Which AI agents does mustang work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is mustang safe to use?
It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mustang still maintained?
The repository was last updated today, so mustang is actively maintained.

Mustang

Mustang executes multi-step workflows with approval checkpoints. Use it when:

  • User wants a repeatable automation (triage, monitor, sync)
  • Actions need human approval before executing (send, post, delete)
  • Multiple tool calls should run as one deterministic operation

When to use Mustang

| User intent | Use Mustang? | | ------------------------------------------------------ | --------------------------------------------- | | "Triage my email" | Yes — multi-step, may send replies | | "Send a message" | No — single action, use message tool directly | | "Check my email every morning and ask before replying" | Yes — scheduled workflow with approval | | "What's the weather?" | No — simple query | | "Monitor this PR and notify me of changes" | Yes — stateful, recurring |

Basic usage

Run a pipeline

{
  "action": "run",
  "pipeline": "gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage"
}

Returns structured result:

{
  "protocolVersion": 1,
  "ok": true,
  "status": "ok",
  "output": [{ "summary": {...}, "items": [...] }],
  "requiresApproval": null
}

Handle approval

If the workflow needs approval:

{
  "status": "needs_approval",
  "output": [],
  "requiresApproval": {
    "prompt": "Send 3 draft replies?",
    "items": [...],
    "resumeToken": "..."
  }
}

Present the prompt to the user. If they approve:

{
  "action": "resume",
  "token": "<resumeToken>",
  "approve": true
}

Example workflows

Email triage

gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage

Fetches recent emails, classifies into buckets (needs_reply, needs_action, fyi).

Email triage with approval gate

gog.gmail.search --query 'newer_than:1d' | email.triage | approve --prompt 'Process these?'

Same as above, but halts for approval before returning.

Key behaviors

  • Deterministic: Same input → same output (no LLM variance in pipeline execution)
  • Approval gates: approve command halts execution, returns token
  • Resumable: Use resume action with token to continue
  • Structured output: Always returns JSON envelope with protocolVersion

Don't use Mustang for

  • Simple single-action requests (just use the tool directly)
  • Queries that need LLM interpretation mid-flow
  • One-off tasks that won't be repeated

Related Skills

View on GitHub
GitHub Stars0
CategoryAutomation
Updated9h ago
Forks0

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium1 low