OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.
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 HKUDS/OpenSpace --skill shell-agent-file-opsgit clone --depth 1 https://github.com/HKUDS/OpenSpaceWrote 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/hkuds/openspace/shell-agent-file-ops)<a href="https://agentmods.dev/skills/hkuds/openspace/shell-agent-file-ops"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/shell-agent-file-ops.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.00707 |
| Opus 5 | $0.00012 | $0.00353 |
| Sonnet 5 | $0.00005 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
shell-agent-file-ops 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 4d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shell Agent File Operations
Purpose
Use shell_agent for file operations when you want the tool to autonomously decide how to accomplish the task (Python vs Bash, which commands to use, error recovery) rather than manually selecting specific tools like write_file or run_shell.
When to Use
Use this pattern when:
- You need to create, modify, or organize files
- The optimal approach (Python script, Bash commands, direct file write) is unclear
- You want automatic error handling and retry logic
- You prefer to describe what to accomplish rather than how
How to Use
Basic Pattern
Delegate to shell_agent with a clear natural-language task description.
Example: Create a Document File
Task description to shell_agent:
Create a comprehensive SOAP note file containing four sections:
Subjective, Objective, Assessment, and Plan. Include all relevant
patient visit details in a professional medical format.
The shell_agent will:
- Decide whether to use Python or Bash
- Write and execute the appropriate code
- Handle any errors automatically (up to several retry rounds)
- Return the result
Example: Modify Existing Files
Task description to shell_agent:
Update all configuration files in the config/ directory to add
a new setting "timeout: 300" under the general section.
Example: Complex File Operations
Task description to shell_agent:
Create a project structure with README.md, src/main.py, and
tests/test_main.py. Include appropriate content in each file
based on a Python data processing project template.
Best Practices
-
Be specific about content requirements - Describe what should be in the file(s), not just that files should be created.
-
Include format specifications - Mention desired formats (markdown, JSON, CSV, etc.) when relevant.
-
Specify file locations - Include paths when files should be in specific directories.
-
Let shell_agent handle complexity - Don't pre-decide the implementation approach; trust the autonomous selection.
What ships with it
1 file 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.
- 4d ago First seen · 104 lines · 23 tokens per session scan A 36d5e7594e0e
shell-agent-file-ops is a skill published in the GitHub repository HKUDS/OpenSpace (7,544 stars, last pushed 26d ago), licensed MIT. It adds 23 tokens to every session and 707 once invoked, about $0.0001 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 2026-09-03.
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