What makes Anthropic notable?

957 downloads. Trust evidence available

How should Anthropic 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

Anthropic

Anthropic (anthropic.com). Use this skill for ANY Anthropic request — reading, creating, and updating data. Whenever a task involves Anthropic, use this skill instead of calling the API directly.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

957

Updated

Oct 12, 2026

Version

1.0.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 957 downloads reported by the source. Last updated 10/12/2026.

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 12, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 12, 2026
Adoption signal: 957 downloadsadoption · observed Oct 12, 2026
Latest release: 1.0.4release · observed Sep 15, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.4release
- Operates Anthropic through an OOMOL-connected account using the `oo` CLI, without handling raw API tokens. - Inspects live action schemas before constructing requests. - Counts tokens and creates non-streaming messages. - Retrieves individual model metadata and lists available models. - Provides guidance for authentication, connection setup, and billing errors. - Requires confirmation before running state-changing actions. Source: `oomol-lab/skills@75bac03`
Observed Sep 15, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s1790xw8jww1c6hgm8aqy9q25187t1rg:oo-anthropic

Install using `clawhub skill install s1790xw8jww1c6hgm8aqy9q25187t1rg:oo-anthropic` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/oomol/oo-anthropic before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-oomol-oo-anthropic/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

29,474 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: oo-anthropic
description: "Anthropic (anthropic.com). Use this skill for ANY Anthropic request — reading, creating, and updating data. Whenever a task involves Anthropic, use this skill instead of calling the API directly."
allowed-tools: [Bash(oo *)]
metadata:
  title: "Anthropic"
  author: "OOMOL"
  version: "1.0.4"
  services: ["anthropic"]
  icon: "https://static.oomol.com/logo/third-party/anthropic.svg"
---

# Anthropic

Operate **Anthropic** through your OOMOL-connected account. This skill calls the `anthropic` connector with the [oo CLI](https://github.com/oomol-lab/oo-cli); OOMOL injects credentials server-side, so you never handle raw tokens.

## Running an action

Assume the user has already installed the oo CLI, signed in, and connected Anthropic. **Do not run `oo auth login` or open the connection URL proactively — just run the action.** Fall back to [First-time setup](#first-time-setup) only when a command actually fails with an auth or connection error.

**1. Inspect the contract** to get the authoritative input/output schema before building a payload:

```bash
oo connector schema "anthropic" --action "<action_name>"
```

**2. Run the action** with a JSON payload that matches the input schema:

```bash
oo connector run "anthropic" --action "<action_name>" --data '<json>' --json
```

- `--data` takes a JSON object string or `@path/to/file.json`; omit it to send `{}`.
- The response is `{ "data": ..., "meta": { "executionId": "..." } }`; the execution id lives under `meta.executionId`.

Each action is listed below with a one-line description; actions that change state carry a `[write]` or `[destructive]` tag. Before constructing `--data`, fetch the action's live schema with `oo connector schema` to get its authoritative input fields.

## Available actions

- `count_message_tokens` — Count input tokens for an Anthropic message request.
- `create_message` — Create a non-streaming Anthropic message. [write]
- `get_model` — Fetch metadata for one Anthropic model.
- `list_models` — List Anthropic models available to the current API key.

## Safety

- Untagged actions are reads (get / list / search) — safe to run directly.
- **Actions tagged `[write]` change Anthropic state — confirm the exact payload and effect with the user before running.**
- **Actions tagged `[destructive]` remove or overwrite data — always confirm the target and get explicit approval first.**

## First-time setup

These are **one-time** steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

- **`oo: command not found`** — install the oo CLI (other platforms: <https://cli.oomol.com/install-guide.md>):

  ```bash
  curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux
  ```

  ```powershell
  irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell
  ```

- **Not signed in / authentication error** — sign in to your OOMOL account once:

  ```bash
  oo auth login
  ```

- **`scope

_meta.json

{
  "ownerId": "kn7d7j8jdksrd4pyjnnxgch2y987zpvb",
  "slug": "oo-anthropic",
  "version": "1.0.4",
  "publishedAt": 1789448782775
}

skill-card.md

## Description:

Operates Anthropic through an OOMOL-connected account using the oo CLI to count message tokens, create non-streaming messages, and retrieve model information.

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

## Publisher:

[oomol](https://clawhub.ai/user/oomol)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and agent operators use this skill to route Anthropic work through an OOMOL-connected account instead of handling raw API tokens directly. It supports token counting, non-streaming message creation, model lookup, and model listing.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: First-time setup directs users to run remote installer scripts, which the security evidence flags as suspicious when unverified.

Mitigation: Review the installer path before installation, prefer pinned, signed, or checksum-verified oo CLI releases, and avoid running remote installer commands from an elevated shell.

Risk: The create_message action is state-changing and may consume account resources or send unintended Anthropic requests.

Mitigation: Confirm the exact payload and expected effect with the user before running write actions, and inspect the live action schema before constructing the request.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/oomol/skills/oo-anthropic)
- [oo CLI](https://github.com/oomol-lab/oo-cli)
- [Anthropic homepage](https://www.anthropic.com)

## Skill Output:

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

**Output Format:** [Markdown with inline shell commands and JSON payload guidance]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Uses live connector schemas before request construction and returns connector responses as JSON when actions are executed.]

## Skill Version(s):

1.0.4 (source: frontmatter and 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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