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 detect-zero-iteration-failuregit 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/detect-zero-iteration-failure)<a href="https://agentmods.dev/skills/hkuds/openspace/detect-zero-iteration-failure"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/detect-zero-iteration-failure/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hkuds/openspace/detect-zero-iteration-failure"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/detect-zero-iteration-failure.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00016 | $0.00382 |
| Opus 5.5 | $0.00006 | $0.00153 |
| Sonnet 5.5 | $0.00003 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
detect-zero-iteration-failure 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 1mo 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.
What it actually says
Detect Zero-Iteration Failure
This skill provides a workflow for identifying and classifying agent failures that occur prior to any task execution.
Identification Criteria
Flag a task execution as a Zero-Iteration Failure if all of the following conditions are met:
- Iteration Count: The agent reports 0 completed iterations.
- Tool Usage: No tools were invoked during the session.
- Artifacts: No documents, files, or code artifacts were created.
- Conversation Log: The log ends abruptly or contains only an initial error message without agent reasoning steps.
Diagnosis Strategy
When a Zero-Iteration Failure is detected, do not attempt standard agent-level debugging (e.g., analyzing reasoning chains or tool parameters). Instead, investigate system-level causes:
- Environment Health: Check if the runtime environment initialized correctly (e.g., dependencies installed, API keys loaded).
- Prompt Parsing: Verify if the initial user instruction was malformed or triggered safety filters immediately.
- Initialization Crash: Look for stack traces or panic logs occurring before the first agent step.
- Resource Limits: Check if memory or quota limits were hit before execution began.
Action Plan
- Tag the Failure: Label the incident as
failure_mode: pre_executionrather thanfailure_mode: agent_logic. - Escalate: Route to infrastructure or platform engineering rather than prompt engineering.
- Retry Strategy: If automating retries, reset the environment context before retrying, as the previous context may be poisoned.
Example Indicators
Status: Failed
Iterations: 0
Tools Called: []
Error: "Session initialization failed: Missing environment variable"
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.
- 1mo ago First seen · 41 lines · 16 tokens per session scan A 1a5ec3905396
detect-zero-iteration-failure is a skill published in the GitHub repository HKUDS/OpenSpace (7,760 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 382 once invoked, about $0.0001 per session on Opus 5.5. 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.
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