What makes autoskill notable?

1.1K downloads. Trust evidence available

How should autoskill be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

autoskill

Intelligent skill router. Analyzes the current problem statement and context, scores all available skills for applicability, and recommends the most relevant... Skill: autoskill Owner: science-prof-robot Summary: Intelligent skill router. Analyzes the current problem statement and context, scores all available skills for applicability, and recommends the most relevant... Tags: latest:1.1.1 Version history: v1.1.1 | 2026-05-09T18:11:14.070Z | user ClawScan security review fixes: mandatory confirmation for all runs, expanded high-risk registry, heuristic detection, and removed

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.1.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.1.1release · observed May 9, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17df8jczacx272nn3y0q0szt985d6cz:autoskill

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-science-prof-robot-autoskill/snapshot"

Documentation

CLAWHUB

56,028 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: autoskill
preamble-tier: 2
version: 1.1.1
author: Science-Prof-Robot
homepage: https://github.com/Science-Prof-Robot/autoskill
license: MIT
description: |
  Intelligent skill router. Analyzes the current problem statement and context,
  scores all available skills for applicability, and recommends the most relevant
  ones in priority order. **No skill is ever invoked without your explicit approval.**

  Use when you want Claude to automatically identify and recommend the right
  skills without manually choosing them. Great for complex tasks where the right set
  of skills is non-obvious.

  Invocation:
    /autoskill [problem description]
    /autoskill (uses current conversation context if no args given)

  Examples:
    /autoskill fix the login bug that crashes on empty password
    /autoskill add unit tests for the payment module
    /autoskill review my PR before I merge
    /autoskill (running with no args analyzes the current conversation)
allowed-tools:
  - Bash
  - Read
  - Glob
  - Grep
  - AskUserQuestion
  - Skill
---

## Preamble (run first)

The commands below inspect local git state and detect the project language from
config files. They do not modify anything, send data externally, or run project
code. They are safe to run in any local workspace.

```bash
_BRANCH=$(git rev-parse --abbrev-ref HEAD 2>/dev/null || echo "no-git")
echo "BRANCH: $_BRANCH"
_LANG_SIGNALS=""
[ -f package.json ] && _LANG_SIGNALS="$_LANG_SIGNALS typescript,javascript"
[ -f requirements.txt ] || [ -f pyproject.toml ] || [ -f setup.py ] && _LANG_SIGNALS="$_LANG_SIGNALS python"
[ -f Cargo.toml ] && _LANG_SIGNALS="$_LANG_SIGNALS rust"
[ -f go.mod ] && _LANG_SIGNALS="$_LANG_SIGNALS go"
[ -f pom.xml ] || [ -f build.gradle ] && _LANG_SIGNALS="$_LANG_SIGNALS java"
[ -f pubspec.yaml ] && _LANG_SIGNALS="$_LANG_SIGNALS dart,flutter"
ls *.csproj 2>/dev/null | head -1 | grep -q . && _LANG_SIGNALS="$_LANG_SIGNALS csharp"
echo "LANG_SIGNALS:${_LANG_SIGNALS:-unknown}"
_GIT_CHANGES=$(git status --short 2>/dev/null | head -20 || echo "")
echo "GIT_CHANGES: $(echo "$_GIT_CHANGES" | wc -l | tr -d ' ') files"
echo "CHANGED_EXTS: $(echo "$_GIT_CHANGES" | grep -oE '\.[a-zA-Z]+$' | sort -u | tr '\n' ',' 2>/dev/null || echo 'none')"
```

## High-Risk Skill Registry

The following skills perform irreversible, externally-visible, or broadly-scoped
actions. They are **always treated as SUGGEST-tier** — they will never be
recommended for automatic inclusion and always require individual user
confirmation before running.

```
HIGH_RISK_SKILLS = [
  # Deployment / release / CI
  ship, land-and-deploy, canary, deploy, setup-deploy, prp-pr, deployment-patterns,

  # Payment / billing / money
  customer-billing-ops, finance-billing-ops, agent-payment-x402,

  # Database mutations
  database-migrations,

  # External communications / public posts
  github-ops, x-api, email-ops, messages-ops, unified-notifications-ops,
  crosspost, content-writer,

  # Account / enterprise / credentia

_meta.json

{
  "ownerId": "kn77vxcwht8y7b07j822fsk0a985da95",
  "slug": "autoskill",
  "version": "1.1.1",
  "publishedAt": 1778350274070
}

skill-card.md

## Description:

Intelligent skill router that analyzes the current problem statement and context, scores available skills for applicability, and recommends the most relevant ones in priority order.

This skill is ready for commercial/non-commercial use.

## Publisher:

[science-prof-robot](https://clawhub.ai/user/science-prof-robot)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and engineers use Autoskill to identify applicable agent skills for a task, review a scored execution plan, and explicitly approve which skills may run.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Approved downstream skills may perform file, network, or external-service actions outside Autoskill's own behavior.

Mitigation: Review the execution plan before approval, decline high-risk skills that are not needed, and cancel when the proposed queue is broader than intended.

Risk: Skill recommendations could route work to an unsuitable or overly broad skill.

Mitigation: Use the scored table and mandatory confirmation step to select only the skills that match the task.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/science-prof-robot/skills/autoskill)
- [Project homepage](https://github.com/Science-Prof-Robot/autoskill)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, guidance]

**Output Format:** [Markdown with scored recommendations, execution previews, confirmation prompts, and audit tables]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires explicit user confirmation before invoking recommended, suggested, or high-risk downstream skills.]

## Skill Version(s):

1.1.1 (source: frontmatter and server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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