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 search-fallback-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/search-fallback-workflow)<a href="https://agentmods.dev/skills/hkuds/openspace/search-fallback-workflow"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/search-fallback-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 | $0.00026 | $0.00914 |
| Opus 5 | $0.00013 | $0.00457 |
| Sonnet 5 | $0.00005 | $0.00183 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
search-fallback-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 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search Fallback Workflow
When to Apply
Use this workflow when:
search_webtool fails repeatedly (typically 2+ consecutive failures)- External information is needed but unavailable due to tool limitations
- Task completion is still possible with reasonable confidence using internal knowledge
- The output can include appropriate caveats about verification needs
Core Pattern
-
Detect Search Failure
- Monitor
search_webresponses for errors, empty results, or timeouts - After 2 consecutive failures, assess whether the task can proceed without fresh data
- Monitor
-
Assess Feasibility
- Determine if internal knowledge is sufficient for the task at hand
- Identify which sections/claims require external verification
- Evaluate risk level: Can the task proceed safely with caveats?
-
Proceed with Internal Knowledge
- Continue the task using well-established facts, regulations, or principles
- Prioritize accuracy over completeness when uncertain
- Use conservative language for claims that cannot be verified
-
Flag for Verification
- Clearly mark any claims that should be verified:
[VERIFICATION NEEDED: Search tool unavailable during generation] - Include a verification checklist in the execution summary
- Distinguish between high-confidence and low-confidence assertions
- Clearly mark any claims that should be verified:
-
Document Limitations
- Include an explicit note in the output about search unavailability
- List specific items requiring follow-up verification
- Provide recommendations for manual verification steps
Implementation Template
## Execution Notes
**Search Tool Status**: Unavailable during generation
**Confidence Levels**:
- ✓ High confidence: Established regulations, well-documented facts
- ⚠ Medium confidence: Industry standards, commonly accepted practices
- ✗ Requires verification: Time-sensitive data, recent changes, specific citations
**Verification Checklist**:
- [ ] Verify citation: [specific reference]
- [ ] Confirm current status: [specific item]
- [ ] Review recent updates: [specific topic]
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 · 133 lines · 26 tokens per session scan A cc2a340503bc
search-fallback-workflow is a skill published in the GitHub repository HKUDS/OpenSpace (7,544 stars, last pushed 26d ago), licensed MIT. It adds 26 tokens to every session and 914 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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