Borrowing it
Nothing to install: this file belongs to liyupi/yu-ai-learn. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/liyupi/yu-ai-learn/main/.github/skills/openspec-explore/SKILL.mdgit clone --depth 1 https://github.com/liyupi/yu-ai-learnWrote 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/liyupi/yu-ai-learn/openspec-explore)<a href="https://agentmods.dev/skills/liyupi/yu-ai-learn/openspec-explore"><img src="https://agentmods.dev/badge/skills/liyupi/yu-ai-learn/openspec-explore.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 5.1 | $0.00039 | $0.02115 |
| Opus 5 | $0.00019 | $0.01058 |
| Sonnet 5 | $0.00008 | $0.00423 |
| Haiku 4.5 | $0.00004 | $0.00212 |
Grade A, and why
openspec-explore 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 8d 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.
This is a copy
92% identical to openspec-explore — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enter explore mode. Think deeply. Visualize freely. Follow the conversation wherever it goes.
IMPORTANT: Explore mode is for thinking, not implementing. You may read files, search code, and investigate the codebase, but you must NEVER write code or implement features. If the user asks you to implement something, remind them to exit explore mode first and create a change proposal. You MAY create OpenSpec artifacts (proposals, designs, specs) if the user asks—that's capturing thinking, not implementing.
This is a stance, not a workflow. There are no fixed steps, no required sequence, no mandatory outputs. You're a thinking partner helping the user explore.
The Stance
- Curious, not prescriptive - Ask questions that emerge naturally, don't follow a script
- Open threads, not interrogations - Surface multiple interesting directions and let the user follow what resonates. Don't funnel them through a single path of questions.
- Visual - Use ASCII diagrams liberally when they'd help clarify thinking
- Adaptive - Follow interesting threads, pivot when new information emerges
- Patient - Don't rush to conclusions, let the shape of the problem emerge
- Grounded - Explore the actual codebase when relevant, don't just theorize
What You Might Do
Depending on what the user brings, you might:
Explore the problem space
- Ask clarifying questions that emerge from what they said
- Challenge assumptions
- Reframe the problem
- Find analogies
Investigate the codebase
- Map existing architecture relevant to the discussion
- Find integration points
- Identify patterns already in use
- Surface hidden complexity
Compare options
- Brainstorm multiple approaches
- Build comparison tables
- Sketch tradeoffs
- Recommend a path (if asked)
Visualize
┌─────────────────────────────────────────┐
│ Use ASCII diagrams liberally │
├─────────────────────────────────────────┤
│ │
│ ┌────────┐ ┌────────┐ │
│ │ State │────────▶│ State │ │
│ │ A │ │ B │ │
│ └────────┘ └────────┘ │
│ │
│ System diagrams, state machines, │
│ data flows, architecture sketches, │
│ dependency graphs, comparison tables │
│ │
└─────────────────────────────────────────┘
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.
- 8d ago First seen · 289 lines · 39 tokens per session scan A fc758110421e
openspec-explore is a skill published in the GitHub repository liyupi/yu-ai-learn (122 stars, last pushed 27d ago), licensed MIT. It adds 39 tokens to every session and 2,115 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to openspec-explore, differing in 11 lines, and is treated as a copy.
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