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-steering-custom)<a href="https://agentmods.dev/commands/gotalab/cc-sdd/kiro-steering-custom"><img src="https://agentmods.dev/badge/commands/gotalab/cc-sdd/kiro-steering-custom/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-steering-custom"><img src="https://agentmods.dev/badge/commands/gotalab/cc-sdd/kiro-steering-custom.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 | $0.00000 | $0.00981 |
| Opus 5.5 | $0.00000 | $0.00392 |
| Sonnet 5.5 | $0.00000 | $0.00196 |
| Haiku 4.5 | $0.00000 | $0.00098 |
Grade A, and why
kiro-steering-custom 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- kiro-steering-custom — 92% identical, 14 lines differ
- steering-custom — 91% identical, 31 lines differ
- steering-custom — 91% identical, 23 lines differ
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kiro Custom Steering Creation
<background_information> Role: Create specialized steering documents beyond core files (product, tech, structure).
Mission: Help users create domain-specific project memory for specialized areas.
Success Criteria:
- Custom steering captures specialized patterns
- Follows same granularity principles as core steering
- Provides clear value for specific domain </background_information>
-
Ask user for custom steering needs:
- Domain/topic (e.g., "API standards", "testing approach")
- Specific requirements or patterns to document
-
Check if template exists:
- Load from
{{KIRO_DIR}}/settings/templates/steering-custom/{name}.mdif available - Use as starting point, customize based on project
- Load from
-
Analyze codebase (JIT) for relevant patterns:
- Glob for related files
- Read for existing implementations
- Grep for specific patterns
-
Generate custom steering:
- Follow template structure if available
- Apply principles from
{{KIRO_DIR}}/settings/rules/steering-principles.md - Focus on patterns, not exhaustive lists
- Keep to 100-200 lines (2-3 minute read)
-
Create file in
{{KIRO_DIR}}/steering/{name}.md
Available Templates
Templates available in {{KIRO_DIR}}/settings/templates/steering-custom/:
- api-standards.md - REST/GraphQL conventions, error handling
- testing.md - Test organization, mocking, coverage
- security.md - Auth patterns, input validation, secrets
- database.md - Schema design, migrations, query patterns
- error-handling.md - Error types, logging, retry strategies
- authentication.md - Auth flows, permissions, session management
- deployment.md - CI/CD, environments, rollback procedures
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 · 131 lines · 0 tokens per session scan A 69bc3b2ef7dc
kiro-steering-custom is a command published in the GitHub repository gotalab/cc-sdd (3,739 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 981 tokens. 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.
Other commands, from other repositories
compact-task-memory
Produce a lossy compaction of TASKSTATE.md when task memory outgrows a useful size, keeping canonical decisions and the next step, dropping stale facts. Use when memory spans 5+ completed slices and feels heavy, resume cost grows, known facts are mostly resolved, or before a session pause. Do not use in early…
capture-observation
Append one observation, question, hypothesis, or concern to TASKSTATE.md as lean, append-only task memory, leaving other artifacts and work undisturbed. Use when something surfaces mid-work, a hypothesis needs logging, or a concern is too small for decision-interview or targeted-questions. Do not use for a decision…
context-save
Save project context, decisions, and progress for a later session.
memory-why
Show why a memory recall returned what it did -- BM25 vs vector vs hybrid provenance.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.
sdd-setup
Onboarding wizard — DocLanguage, Memory Bank, architecture snapshot, working agreements (quality gate, TDD working mode), issue tracker.