Kiro Spec RequirementsSAFE
Turn approved specs into long-running autonomous implementation. A minimal, adaptable SDD harness with Agent Skills for Claude Code, Codex, Cursor, Copilot, Windsurf, OpenCode, Gemini CLI, and Antigravity.
Overview
Turn approved specs into long-running autonomous implementation. A minimal, adaptable SDD harness with Agent Skills for Claude Code, Codex, Cursor, Copilot, Windsurf, OpenCode, Gemini CLI, and Antigravity.
4504485f1027OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: kiro-spec-requirements
description: Generate comprehensive requirements for a specification
metadata:
shared-rules: "ears-format.md, requirements-review-gate.md"
---
# Requirements Generation
<background_information>
- **Success Criteria**:
- Create complete requirements document aligned with steering context
- Follow the project's EARS patterns and constraints for all acceptance criteria
- Focus on core functionality without implementation details
- Make inclusion/exclusion boundaries explicit when scope could otherwise be misread
- Update metadata to track generation status
</background_information>
<instructions>
## Execution Steps
1. **Load Context**:
- Read `{{KIRO_DIR}}/specs/$1/spec.json` for language and metadata
- Read `{{KIRO_DIR}}/specs/$1/brief.md` if it exists (discovery context: problem, approach, scope decisions, boundary candidates)
- Read `{{KIRO_DIR}}/specs/$1/requirements.md` for project description
- Core steering context: `product.md`, `tech.md`, `structure.md`
- Additional steering files only when directly relevant to feature scope, user personas, business/domain rules, compliance/security constraints, operational constraints, or existing product boundaries
- Use explicitly requested skills and task-relevant local skills/playbooks, including design, accessibility, and UX. Select by description and read only needed guidance, even for small tasks; preserve required checks and host/project rules.
2. **Read Guidelines**:
- Read `rules/ears-format.md` from this skill's directory for EARS syntax rules
- Read `rules/requirements-review-gate.md` from this skill's directory for pre-write review criteria
- Read `{{KIRO_DIR}}/settings/templates/specs/requirements.md` for document structure
#### Parallel Research (sub-agent dispatch)
The following research areas are independent. Decide the optimal decomposition based on project complexity -- split, merge, add, or skip sub-agents as needed.
**In main context** (essential for requirements generation):
- Spec files: spec.json, brief.md, requirements.md (project description)
- EARS format rules, requirements review gate, requirements template
- Core steering: product.md, tech.md (directly inform scope and constraints)
**Delegate to sub-agent** (keeps exploration out of main context):
- **Codebase hints** (brownfield projects): Spawn a sub-agent to explore existing implementations that inform requirement scope. Ask it to summarize: (1) what already exists, (2) relevant interfaces/APIs, (3) patterns that new requirements should align with. Return a summary under 150 lines.
- **Domain research** (when external knowledge is needed): Spawn a sub-agent for web research on domain-specific requirements, standards, or best practices. Return a concise findings summary.
- **Additional steering and playbooks**: If many steering files or local agent playbooks exist, spawn a sub-agent to scan them and return only the sections relevant to this feature.
For greenfield projects with minimal codebase, skip sub-agent dispatch and load context directly. If multi-agent is not available, execute sequentially in main context.
After all research completes, synthesize findings in main context before generating requirements.
3. **Generate Requirements Draft**:
- Create initial requirements draft based on project description
- Group related functionality into logical requirement areas
- Apply EARS format to all acceptance criteria
- Use language specified in spec.json
- Preserve terminology continuity across phases:
- discovery = `Boundary Candidates`
- requirements = explicit inclusion/exclusion and adjacent expectations when needed
- design = `Boundary Commitments`
- tasks = `_Boundary:_`
- If scope could be misread, add lightweight boundary context without introducing implementation or architecture ownership detail
- Keep this as a draft until the review gate passes; do not write `requirements.md` yet
4. **Review Requirements Draft**:
- Run the `Requirements Review Gate` from `rules/requirements-review-gate.md`
- Review coverage, EARS compliance, ambiguity, adjacent expectations, and scope boundaries before finalizing
- If issues are local to the draft, repair the requirements and review again
- Keep the review bounded to at most 2 repair passes
- If the draft exposes a real scope ambiguity or contradiction, stop and ask the user to clarify instead of writing guessed requirements
5. **Finalize and Update Metadata**:
- Write `{{KIRO_DIR}}/specs/$1/requirements.md` only after the requirements review gate passes
- Set `phase: "requirements-generated"`
- Set `approvals.requirements.generated: true`
- Update `updated_at` timestamp
## Important Constraints
### Requirements Scope: WHAT, not HOW
Requirements describe user-observable behavior, not implementation. Use this to decide what belongs here vs. in design:
**Ask the user about (requirements scope):**
- Functional scope — what is included and what is excluded
- User-observable behavior — "when X happens, what should the user see/experience?"
- Business rules and edge cases — limits, error conditions, special cases
- Non-functional requirements visible to users — response time expectations, availability, security level
- Adjacent expectations only when they change user-visible behavior or operator expectations — what this feature relies on, and what it explicitly does not own
**Do not ask about (design scope — defer to design phase):**
- Technology stack choices (database, framework, language)
- Architecture patterns (microservices, monolith, event-driven)
- API design, data models, internal component structure
- How to achieve non-functional requirements (caching strategy, scaling approach)
- Internal ownership mapping, component seams, or implementation boundaries that belong in design
**Litmus test**: If an EARS acceptance criterion can be written without mentioning any Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
4504485f1027full audit observations/trust-audit/skill/gotalab__kiro-spec-requirements.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 4504485f1027 | SAFE | B | 89 | first audit |
Questions
What does the Kiro Spec Requirements skill do?
Turn approved specs into long-running autonomous implementation. A minimal, adaptable SDD harness with Agent Skills for Claude Code, Codex, Cursor, Copilot, Windsurf, OpenCode, Gemini CLI, and Antigravity.
Is Kiro Spec Requirements safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Kiro Spec Requirements access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (4504485f1027), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.