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/zot/mini-spec/minimapnpx skills add zot/mini-spec --skill minimapgit clone --depth 1 https://github.com/zot/mini-specWrote 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/zot/mini-spec/minimap)<a href="https://agentmods.dev/skills/zot/mini-spec/minimap"><img src="https://agentmods.dev/badge/skills/zot/mini-spec/minimap.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 | $0.00070 | $0.01564 |
| Opus 5 | $0.00035 | $0.00782 |
| Sonnet 5 | $0.00014 | $0.00313 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
minimap 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 3d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minimap
How a mini-spec project is laid out, so you can find your way around it —
read it, search it, follow a clue from any layer to the others. This is the
model, not the process. Load /minimap to navigate; load /mini-spec
to maintain (it loads this skill underneath).
Design docs first — not code
When understanding a feature or planning a change, start with
design/design.md and the relevant CRC cards/sequences before using
code-exploration tools (grep, symbol search, reading source). Design docs are
the project index — they show component relationships, responsibilities, and
code-file mappings more efficiently than reading code. Drop into code-level
tools only after the design docs have oriented you. And when the project keeps
a root spec index (below), read that first of all — it maps every spec
in one file, so you orient without grepping the specs/ tree.
The three levels
specs/ # Human intent — current state, in the user's own words
migrations/ # In-flight migrations — temporary, moved on completion
complete/ # Completed migrations, numbered in landing order
design/ # AI translation — requirements.md, crc-*, seq-*, ui-*, test-*, manifest-ui.md
docs/ # user-manual.md, developer-guide.md
src/ # Code with traceability comments
(src/ stands in for the project's code root, whatever it's named.)
Specs are the human's voice — what the system should do, in natural language, organized by feature area. Intent, not implementation. For libraries, API signatures live in specs because they are the contract. Most specs are per-feature (one spec, one capability). A second kind, summary specs, indexes existing behavior along a cross-cutting axis without adding behavior of its own (below).
Design is the AI's translation of specs into buildable structure.
requirements.md extracts testable statements; CRC cards assign
responsibilities to components; sequences show how components interact.
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.
- 3d ago First seen · 128 lines · 70 tokens per session scan A 42ccf0614ebe
minimap is a skill published in the GitHub repository zot/mini-spec (5 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 1,564 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
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…