cc-sdd is a spec-driven development workflow for coding agents: it turns approved software specifications into requirements, designs, task plans, and extended autonomous implementation. Developers use it across several AI coding agents, with independent review and task-level continuation for long-running work. The catalogue entries provide commands, skills, agents, and instructions for using this workflow.
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 gotalab/cc-sdd --skill kiro-spec-designgit clone --depth 1 https://github.com/gotalab/cc-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/gotalab/cc-sdd/kiro-spec-design)<a href="https://agentmods.dev/skills/gotalab/cc-sdd/kiro-spec-design"><img src="https://agentmods.dev/badge/skills/gotalab/cc-sdd/kiro-spec-design/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/gotalab/cc-sdd/kiro-spec-design"><img src="https://agentmods.dev/badge/skills/gotalab/cc-sdd/kiro-spec-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 174 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 35 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00012 | $0.02471 |
| Opus 5 | $0.00006 | $0.01236 |
| Sonnet 5 | $0.00002 | $0.00494 |
| Haiku 4.5 | $0.00001 | $0.00247 |
Grade A, and why
kiro-spec-design 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 10d 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Design Generator
<background_information>
- Success Criteria:
- All requirements mapped to technical components with clear interfaces
- The design makes responsibility boundaries explicit enough to guide task generation and review
- Appropriate architecture discovery and research completed
- Design aligns with steering context and existing patterns
- Visual diagrams included for complex architectures </background_information>
Step 1: Load Context
Read all necessary context:
{{KIRO_DIR}}/specs/$1/spec.json,requirements.md,design.md(if exists){{KIRO_DIR}}/specs/$1/research.md(if exists, contains gap analysis from/kiro-validate-gap)- Core steering context:
product.md,tech.md,structure.md - Additional steering files only when directly relevant to requirement coverage, architecture boundaries, integrations, runtime prerequisites, security/performance constraints, or team conventions that affect implementation readiness
{{KIRO_DIR}}/settings/templates/specs/design.mdfor document structure- Read
rules/design-principles.mdfrom this skill's directory for design principles {{KIRO_DIR}}/settings/templates/specs/research.mdfor discovery log structure
Validate requirements approval:
- If
-yflag provided ($2 == "-y"): Auto-approve requirements in spec.json - Otherwise: Verify approval status (stop if unapproved, see Safety & Fallback)
Step 2: Discovery & Analysis
Critical: This phase ensures design is based on complete, accurate information.
-
Classify Feature Type:
- New Feature (greenfield) → Full discovery required
- Extension (existing system) → Integration-focused discovery
- Simple Addition (CRUD/UI) → Minimal or no discovery
- Complex Integration → Comprehensive analysis required
-
Execute Appropriate Discovery Process:
For Complex/New Features:
- Read and execute
rules/design-discovery-full.mdfrom this skill's directory - Conduct thorough research using WebSearch/WebFetch:
- Latest architectural patterns and best practices
- External dependency verification (APIs, libraries, versions, compatibility)
- Official documentation, migration guides, known issues
- Performance benchmarks and security considerations
- Read and execute
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.
- 10d ago First seen · 208 lines · 12 tokens per session scan A cd49f4f86fc5
kiro-spec-design is a skill published in the GitHub repository gotalab/cc-sdd (3,659 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 2,471 once invoked, about $0.0001 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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