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 agentmods add skills/hkuds/openspace/finalize-zip-deliverablenpx skills add HKUDS/OpenSpace --skill finalize-zip-deliverablegit 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/finalize-zip-deliverable)<a href="https://agentmods.dev/skills/hkuds/openspace/finalize-zip-deliverable"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/finalize-zip-deliverable.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00025 | $0.01275 |
| Opus 5 | $0.00013 | $0.00638 |
| Sonnet 5 | $0.00005 | $0.00255 |
| Haiku 4.5 | $0.00003 | $0.00128 |
Grade A, and why
finalize-zip-deliverable 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finalize ZIP Deliverable
CRITICAL: This skill defines a MANDATORY workflow that MUST be executed before any task can be marked complete. Task completion is BLOCKED until ZIP verification passes.
Agents often assume that creating the project directory and files constitutes task completion. However, many tasks require a single downloadable artifact (ZIP file) for delivery. You are forbidden from declaring task completion until the ZIP artifact is created and verified.
ITERATION-AWARE PRIORITY: If the agent's iteration count approaches the task limit (e.g., iteration 25 of 30), ZIP creation MUST be elevated to highest priority. Do not continue adding features or refining code—execute the ZIP command immediately with whatever files exist.
Early Warning System
TRIGGER CONDITION: When iteration count reaches 25/30 (or 80% of any iteration limit), activate the following protocol:
- Immediately halt any non-essential code generation or refinement.
- Assess current state: List all files currently in the project directory.
- Execute minimum viable ZIP: Package whatever exists, even if incomplete.
- Document the fallback: Note in completion summary that ZIP was created as fallback due to iteration constraints.
RATIONALE: A partial ZIP deliverable is ALWAYS preferable to zero deliverable. Never exhaust iterations without creating the required artifact.
Minimum Viable ZIP Fallback
When triggered by the early warning system, execute this fallback procedure:
# Create ZIP with whatever files currently exist
zip -r project_fallback.zip ./project/ 2>/dev/null || zip -r project_fallback.zip ./*
# Verify creation succeeded
ls -lh project_fallback.zip
Acceptable fallback scenarios:
- ZIP contains partial codebase (better than nothing)
- ZIP contains only configuration files
- ZIP contains even a single source file
Unacceptable outcome: No ZIP file created due to iteration exhaustion.
Workflow Steps
1. Verify Project Completeness
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 · 113 lines · 25 tokens per session scan A 7582bba799bd
finalize-zip-deliverable is a skill published in the GitHub repository HKUDS/OpenSpace (7,501 stars, last pushed 23d ago), licensed MIT. It adds 25 tokens to every session and 1,275 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 2026-08-30.
Other skills, from other repositories
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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…