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/joestump/claude-plugin-sdd/specnpx skills add joestump/claude-plugin-sdd --skill specgit clone --depth 1 https://github.com/joestump/claude-plugin-sddWrote 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/joestump/claude-plugin-sdd/spec)<a href="https://agentmods.dev/skills/joestump/claude-plugin-sdd/spec"><img src="https://agentmods.dev/badge/skills/joestump/claude-plugin-sdd/spec.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 | $0.00042 | $0.09170 |
| Opus 5 | $0.00021 | $0.04585 |
| Sonnet 5 | $0.00008 | $0.01834 |
| Haiku 4.5 | $0.00004 | $0.00917 |
Grade A, and why
spec scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 541 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create an OpenSpec Specification
Harness portability. This skill runs on any agent harness that loads Agent Skills — Claude Code, Codex CLI, OpenCode, Crush. Tool names used below (
AskUserQuestion,Task,TeamCreate,SendMessage,TaskCreate,ToolSearch,mcp__*,${CLAUDE_PLUGIN_ROOT}) denote capabilities, not hard requirements: map each to your harness's equivalent or use the documented fallback per${CLAUDE_PLUGIN_ROOT}/references/harness-compat.md. References toCLAUDE.mdmean the project memory file (CLAUDE.md,AGENTS.md, orCRUSH.md) per harness-compat § "Project Memory File". A citation of the formshared-patterns.md § "Section"names one##heading in that file — load only that section (see its "How to Read This File" note), never the whole file.
You are creating or updating an OpenSpec specification. Every spec is a paired artifact: spec.md (requirements — what the system does) and design.md (architecture and rationale — how and why it does it).
You MUST ALWAYS create or update BOTH files together. They are a single unit of truth. Never create, edit, or deliver one without the other.
When updating an existing spec, you MUST review the companion file for alignment. If spec.md changes, read design.md and update it where the architectural decisions or rationale no longer reflect the updated requirements — and vice versa. The two files MUST remain internally consistent at all times.
When creating a new spec from scratch, both files are created together — alignment is automatic. The pairing review obligation applies to subsequent updates where one file may change without the other.
Process
- Resolve artifact paths: Follow the Artifact Path Resolution pattern from
${CLAUDE_PLUGIN_ROOT}/references/shared-patterns.md§ "Artifact Path Resolution" to determine the spec directory. If$ARGUMENTScontains--module <name>, resolve paths relative to that module. The resolved spec directory is referred to as{spec-dir}below.
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.
- today Changed · -28 lines e43e1d197d0b
- 4d ago First seen · 569 lines · 42 tokens per session scan A 2e01d1fa8f23
spec is a skill published in the GitHub repository joestump/claude-plugin-sdd (32 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 9,170 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 2026-08-30.
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brainstorming
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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…