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 filexgit 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/filex)<a href="https://agentmods.dev/skills/inclusionai/aworld/filex"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/filex/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/filex"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/filex.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00087 | $0.01156 |
| Opus 5 | $0.00044 | $0.00578 |
| Sonnet 5 | $0.00017 | $0.00231 |
| Haiku 4.5 | $0.00009 | $0.00116 |
Grade A, and why
filex 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 9d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use FileX
Use the bundled wrapper for FileX inspect, parse, and status. It validates workspace paths, resolves supported URL sources, keeps credentials out of command-line arguments, preserves FileX JSON fields, and returns output_path for synchronous parsing.
Parse a local file
Confirm the file is under the sandbox workspace, normally /root/workspace, then run:
python3 /skills/filex/scripts/filex.py parse \
--input /root/workspace/input.docx \
--output /root/workspace/input.md
FileX supports:
- Documents: PDF, TXT, Markdown, DOC/DOCX, PPT/PPTX.
- Tables: CSV, XLS/XLSX.
- Images: PNG, JPG/JPEG, WebP, GIF, BMP.
- Audio: MP3, WAV, M4A, AAC, FLAC, OGG, OPUS.
- Video: MP4, MOV, MKV, WebM, AVI, M4V, MPEG, MPG.
Omit --output to keep FileX's generated Markdown path. Use --file-type only when extension or content detection is insufficient. Parse stdout as JSON and continue only when success is true.
Select a provider
Use --provider when the provider needs no credentials on the command line:
python3 /skills/filex/scripts/filex.py parse \
--input /root/workspace/report.pdf \
--provider liteparse
Available providers depend on the file type and image configuration. They include Paddle OCR, LiteParse, PyPDF+VLM, native Office/text/table providers, image VLM, and local Whisper. Let FileX select the default unless the task requires a specific capability.
For provider credentials or complex configuration, create a protected JSON file in the workspace and pass --env-file. Put filex_parse_provider in that file when selecting a provider. Do not combine --provider with --env-file.
Parse a URL
Pass an HTTP(S) URL directly. FileX downloads it into a bounded workspace cache before parsing:
python3 /skills/filex/scripts/filex.py parse \
--url https://example.com/report.pdf \
--file-type pdf
The default maximum download is 512 MiB and the default timeout is 120 seconds.
Operators may adjust FILEX_MAX_DOWNLOAD_BYTES and
FILEX_DOWNLOAD_TIMEOUT_SECONDS on the container.
What ships with it
2 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.
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.
- 9d ago First seen · 114 lines · 87 tokens per session scan A d398abfa3f25
filex is a skill published in the GitHub repository inclusionAI/AWorld (1,229 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,156 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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