AWorld is an agent harness, meaning a framework that coordinates an AI agent’s tools, memory, context, and execution so expert knowledge can be turned into reusable skills and autonomous agents. It is for building domain-specific agent applications and workflows, with the catalogue entries representing skills, agents, and commands that operate within the AWorld ecosystem.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add inclusionAI/AWorld --skill workbenchgit clone --depth 1 https://github.com/inclusionAI/AWorldWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/inclusionai/aworld/workbench)<a href="https://agentmods.dev/skills/inclusionai/aworld/workbench"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/workbench/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/inclusionai/aworld/workbench"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/workbench.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.01210 |
| Opus 5.5 | $0.00013 | $0.00484 |
| Sonnet 5.5 | $0.00007 | $0.00242 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
workbench scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use Workbench
Workbench is an AWorld-owned candidate-management capability that is bundled but disabled by default. Use it only when it was explicitly selected and multiple candidates, rollback, checkpoint preservation, or measured local comparison provide real value. Direct and low-risk tasks should usually proceed without Workbench ceremony.
Its checks and receipts are agent self-check evidence only. They do not inspect hidden checks, compute task reward, or represent caller/canonical acceptance. Final external evaluation is outside Workbench.
WORKBENCH_* values are optional ordinary environment variables, not a
security boundary. Changing them cannot grant access beyond the terminal's
existing operating-system permissions and cannot produce canonical verifier or
reward evidence. When they are absent, the CLI uses the real current directory
as the workspace, puts state in AWorld's external control/state directory, and
derives a bounded scope from AWorld task/session identity or a workspace
fingerprint. Explicit values remain supported.
Choose the configured AWorld interpreter when present; otherwise python3
launches the CLI and the CLI uses sys.executable:
WORKBENCH_PYTHON="${AWORLD_PYTHON_EXECUTABLE:-python3}"
"$WORKBENCH_PYTHON" /skills/workbench/scripts/workbench.py --help
The CLI exposes no command-line shortcuts for replacing workspace, state, or scope. Workbench never infers outputs, checks, policy, or scope from task text, dataset names, or benchmark identity.
Initialize an explicit self-check contract
Create a JSON contract inside the current task workspace. Every contract must declare
authority: "agent_self_check", at least one output, at least one executable
check, and an explicit selection policy. Use paths relative to
$WORKBENCH_WORKSPACE_ROOT; output and input paths must remain inside that
configured directory.
{
"schema_version": "workbench.contract/v1",
"authority": "agent_self_check",
"outputs": [
{
"id": "report",
"path": "report.json",
"checks": [
{"id": "report-json", "kind": "json", "path": "report.json", "root_type": "object"}
]
}
],
"inputs": [],
"checks": [],
"policy": {
"mandatory_checks": ["report-json"],
"hard_constraints": []
}
}
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- scripts/workbench_runtime/__init__.py 78 B runs code
- scripts/workbench_runtime/_process_child.py 849 B runs code
- scripts/workbench_runtime/_process.py 6.0 KB runs code
- scripts/workbench_runtime/session.py 14 KB runs code
- scripts/workbench_runtime/store_inputs.py 6.7 KB runs code
- scripts/workbench_runtime/store_io.py 5.6 KB runs code
- scripts/workbench_runtime/store.py 46 KB runs code
- scripts/workbench_runtime/validation.py 37 KB runs code
- scripts/workbench.py 26 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 151 lines · 33 tokens per session scan A 34999a35cfae
workbench is a skill published in the GitHub repository inclusionAI/AWorld (1,242 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,210 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-13.
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imsg
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slack
Use when you need to control Slack from Brigade via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.
obsidian
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