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.
git 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/commands/gotalab/cc-sdd/kiro-spec-quick)<a href="https://agentmods.dev/commands/gotalab/cc-sdd/kiro-spec-quick"><img src="https://agentmods.dev/badge/commands/gotalab/cc-sdd/kiro-spec-quick/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/commands/gotalab/cc-sdd/kiro-spec-quick"><img src="https://agentmods.dev/badge/commands/gotalab/cc-sdd/kiro-spec-quick.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00008 | $0.02589 |
| Opus 5.5 | $0.00003 | $0.01036 |
| Sonnet 5.5 | $0.00002 | $0.00518 |
| Haiku 4.5 | $0.00001 | $0.00259 |
Grade A, and why
kiro-spec-quick 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 1mo 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
98% identical to spec-quick — 26 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 — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Spec Generator
<background_information>
- Mission: Execute all spec phases (init → requirements → design → tasks) in a single command
- Success Criteria:
- Interactive mode: User controls progression with approval prompts at each phase
- Automatic mode: All phases execute without interruption when
--autoflag provided - All generated specs maintain quality comparable to manual workflow </background_information>
If --auto flag is present in $ARGUMENTS, you are in AUTOMATIC MODE.
In Automatic Mode:
- Execute ALL 4 phases in a continuous loop without stopping
- Use TodoWrite to track progress (4 tasks: init, requirements, design, tasks)
- Each phase completion updates TodoWrite and continues immediately
- IGNORE any "Next Step" messages from Phase 2-4 (they are for standalone usage)
- Stop ONLY after Phase 4 completes or if error occurs
Progress tracking with TodoWrite:
- Phase 1 complete = 1/4 tasks done → Continue to Phase 2
- Phase 2 complete = 2/4 tasks done → Continue to Phase 3
- Phase 3 complete = 3/4 tasks done → Continue to Phase 4
- Phase 4 complete = 4/4 tasks done → Output summary and exit
Core Task
Execute 4 spec phases sequentially. In automatic mode, execute all phases without stopping. In interactive mode, prompt user for approval between phases.
Execution Steps
Step 1: Parse Arguments and Initialize
Parse $ARGUMENTS:
- If contains
--auto: Automatic Mode (execute all 4 phases) - Otherwise: Interactive Mode (prompt at each phase)
- Extract description (remove
--autoflag if present)
Example:
"User profile with avatar upload --auto" → mode=automatic, description="User profile with avatar upload"
"User profile feature" → mode=interactive, description="User profile feature"
Create TodoWrite task list:
[
{"content": "Initialize spec", "activeForm": "Initializing spec", "status": "pending"},
{"content": "Generate requirements", "activeForm": "Generating requirements", "status": "pending"},
{"content": "Generate design", "activeForm": "Generating design", "status": "pending"},
{"content": "Generate tasks", "activeForm": "Generating tasks", "status": "pending"}
]
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.
- 1mo ago First seen · 359 lines · 8 tokens per session scan A 291526be836d
kiro-spec-quick is a command published in the GitHub repository gotalab/cc-sdd (3,731 stars, last pushed 9d ago), licensed MIT. It adds 8 tokens to every session and 2,589 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to spec-quick, differing in 26 lines, and is treated as a copy.
Other commands, from other repositories
decision-interview
Ask the minimum decision questions needed before turning the task into canonical implementation rules, on behavior, data integrity, rollout safety, or test strategy. Use when missing information is decision-driven (not factual) or undecided policy blocks planning; in an attended chain it records an open decision as…
implementation-plan
Define an incremental plan for the active task as IMPLEMENTATIONPLAN.md plus a TASKSTATE.md update: smallest safe slices with scope, validation and exit criteria. No code is written. A --spec mode derives slices from a spec or PRD. A retrofit mode annotates in-progress plans so they can adopt implement-fleet. Do not…
slice-closure
Decide whether the current slice is ready to close, separating slice completion from task completion, and record the result in slice notes and TASKSTATE.md. Use when a slice was implemented, validated or reviewed and may be ready to close. Do not use before slice implementation, during planning, or for overall task…
task-close
Close a whole finished task: verify the spec done-conditions, set TASKSTATE.md to its final closed state, and move the folder from active/ to archive/. Use when all slices are closed, the work is merged or explicitly waived, and the task is ending. Do not use for one slice (use slice-closure), unfinished work…
autonomous-run
Run one approved task in one supervised session with the direct-use reference dispatcher, delegating verifiable slices to existing commands and emitting PROPOSED diffs only and never creating commits or attestation refs. Use when a maintainer invokes Fhorja directly after approve-plan and a BOOT verdict from…
branch-commit
Return a branch name and concise commit message (max 3 lines) for the current task, grounded in the real git diff; with --apply, create the commit after showing the staged diff. Use when the user only needs quick branch and commit naming before committing, PR packaging is unnecessary, and a real diff exists; use…