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/theoden8/webspace_app/openspec-explorenpx skills add theoden8/webspace_app --skill openspec-exploregit clone --depth 1 https://github.com/theoden8/webspace_appWrote 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/theoden8/webspace_app/openspec-explore)<a href="https://agentmods.dev/skills/theoden8/webspace_app/openspec-explore"><img src="https://agentmods.dev/badge/skills/theoden8/webspace_app/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 | $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 today.
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 — 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.
- today First seen · 289 lines · 39 tokens per session scan A 2185e88065c0
openspec-explore is a skill published in the GitHub repository theoden8/webspace_app (201 stars, last pushed today), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
flutter-cherry-pick
How to land a formal cherry-pick of a merged PR for the flutter/flutter repo stable or beta channel. Only use for flutter/flutter landed pull requests. Only use when the cherry pick request is into "stable", "beta" or a branch that has the format with flutter- . -candidate.0.
analyze-github-flake
Expertise in analyzing flake github issues in the flutter/flutter repository. Use when a user wants to analyze the flakiness of a specific link to a flutter github issue.
upgrade-browser
Upgrade browser versions (Chrome or Firefox) in the Flutter Web Engine and/or Framework tests. Use when asked to roll or upgrade Chrome or Firefox to a newer version.
run-devicelab-with-led
Run DeviceLab tests for Flutter PRs using LUCI's led CLI tool. Use when asked to run, launch, try, or deflake a post-submit or devicelab test against a PR using led.
natural-writing
Contains well-defined rules for creating natural, accurate, and readable writing. Use whenever authoring longer text, like analysis documents, PR or CL descriptions, or documentation.
code-review
Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback. Use when you need to review code changes thoroughly.