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-error-debug-workflowgit 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-error-debug-workflow)<a href="https://agentmods.dev/skills/hkuds/openspace/shell-error-debug-workflow"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/shell-error-debug-workflow.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 | $0.00019 | $0.00992 |
| Opus 5 | $0.00010 | $0.00496 |
| Sonnet 5 | $0.00004 | $0.00198 |
| Haiku 4.5 | $0.00002 | $0.00099 |
Grade A, and why
shell-error-debug-workflow 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 5d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shell Error Debug Workflow
When run_shell returns an 'unknown error' or ambiguous failure, apply this systematic troubleshooting workflow to diagnose and resolve the issue.
When to Use This Skill
run_shellreturns an 'unknown error' message- Shell command fails without clear error output
- Command works locally but fails in the agent environment
- Intermittent or unexplained shell failures
Step-by-Step Troubleshooting Workflow
Step 1: Capture Explicit Stderr
Redirect stderr to stdout to capture all error output:
# Instead of:
run_shell command="some-command"
# Use:
run_shell command="some-command 2>&1"
This ensures error messages are captured in the output rather than being lost.
Step 2: Verify Working Directory
Confirm the current working directory and its contents:
run_shell command="pwd && ls -la"
Check that:
- You're in the expected directory
- Required files/directories exist
- Permissions are correct
Step 3: Check Tool/Command Availability
Verify the required command or tool exists and is accessible:
run_shell command="which some-command || command -v some-command || type some-command"
If the tool is not found, check PATH or install the required package.
Step 4: Use Absolute Paths
Replace relative paths with absolute paths to avoid directory-related issues:
# Instead of:
run_shell command="python script.py"
# Use:
run_shell command="$(pwd)/script.py"
# or
run_shell command="/absolute/path/to/script.py"
Step 5: Test with Minimal Command
Isolate the issue by running a minimal version of the command:
# Test basic functionality first
run_shell command="echo 'test'"
# Then gradually add complexity
run_shell command="some-command --version"
run_shell command="some-command --help"
Step 6: Check Environment Variables
Some commands depend on specific environment variables:
run_shell command="env | grep -i relevant_var"
Complete Diagnostic Sequence
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.
- 5d ago First seen · 156 lines · 19 tokens per session scan A 9d0d86636893
shell-error-debug-workflow is a skill published in the GitHub repository HKUDS/OpenSpace (7,544 stars, last pushed 27d ago), licensed MIT. It adds 19 tokens to every session and 992 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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