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 spreadsheet-audit-edit-validate-enhancedgit 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/spreadsheet-audit-edit-validate-enhanced)<a href="https://agentmods.dev/skills/hkuds/openspace/spreadsheet-audit-edit-validate-enhanced"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/spreadsheet-audit-edit-validate-enhanced.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 | $0.00035 | $0.04784 |
| Opus 5 | $0.00017 | $0.02392 |
| Sonnet 5 | $0.00007 | $0.00957 |
| Haiku 4.5 | $0.00003 | $0.00478 |
Grade A, and why
spreadsheet-struct-verified 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 — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spreadsheet Structure Verified
Use this workflow whenever you need to create or modify an Excel workbook where the output must match an expected structure. The goal is to avoid delivering a workbook that does not satisfy the user's required tabs, columns, or counts by using deterministic Python verification.
Important: This workflow has two distinct modes:
| Task Type | Pre-edit Audit | Post-write Verification |
|---|---|---|
| Modify existing workbook | Full audit required (Phases 1-2) | Full verification required (Phase 4) |
| Create new workbook from source/reference data | Skip pre-edit audit (no existing file) | Deterministic Python verification REQUIRED (Phase 4) |
This is a workflow skill, not a tool-specific recipe. Apply it with any spreadsheet-capable tooling, but Phase 4 verification uses a deterministic Python script.
When to use
Use this workflow when:
- You are creating a new workbook from source/reference data
- You are modifying an existing workbook AND the workbook path is uncertain
- Multiple similar
.xlsxor.xlsmfiles may exist - The user specifies required sheet names, row counts, sample counts, or populated columns
- A silent structure mismatch would cause downstream errors
- Systematic post-write verification is required before reporting completion
Before proceeding, determine which workflow mode applies:
Mode A: Modify existing workbook - Use the full workflow (all phases) when there is an existing workbook file that must be updated in place, the user references an existing file, or the task requires preserving existing data/formulas/formatting.
Mode B: Create new workbook from source/reference data - Adapt Phase 1-2 to audit SOURCE reference files instead of targeting a non-existent workbook. Phase 1 locates and inspects source data files; Phase 2 audits their structure (sheet names, columns, data types, row counts, merged cells, formulas). Skip target workbook pre-edit audit (it doesn't exist yet), but DO audit the source/reference files thoroughly before creating. Phase 4 (deterministic Python verification) is MANDATORY for create mode.
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 · 565 lines · 35 tokens per session scan A 66fdd3d41976
spreadsheet-struct-verified is a skill published in the GitHub repository HKUDS/OpenSpace (7,544 stars, last pushed 26d ago), licensed MIT. It adds 35 tokens to every session and 4,784 once invoked, about $0.0002 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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