Borrowing it
Nothing to install: this file belongs to akaghef/M3E. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/akaghef/M3E/main/.agents/skills/kiro-spec-batch/SKILL.mdgit clone --depth 1 https://github.com/akaghef/M3EWrote 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/akaghef/m3e/kiro-spec-batch)<a href="https://agentmods.dev/skills/akaghef/m3e/kiro-spec-batch"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/kiro-spec-batch/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/akaghef/m3e/kiro-spec-batch"><img src="https://agentmods.dev/badge/skills/akaghef/m3e/kiro-spec-batch.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 | $0.00031 | $0.01994 |
| Opus 5.5 | $0.00012 | $0.00798 |
| Sonnet 5.5 | $0.00006 | $0.00399 |
| Haiku 4.5 | $0.00003 | $0.00199 |
Grade A, and why
kiro-spec-batch 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 5d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec Batch
<background_information>
- Success Criteria:
- All features have complete spec files (spec.json, requirements.md, design.md, tasks.md)
- Dependency ordering respected (upstream specs complete before downstream)
- Independent features processed in parallel via sub-agent dispatch
- Cross-spec consistency verified (data models, interfaces, naming)
- Mixed roadmap context understood without breaking
## Specs (dependency order)parsing - Controller context stays lightweight (sub-agents do the heavy work) </background_information>
Step 1: Read Roadmap and Validate
- Read
.kiro/steering/roadmap.md - Parse the
## Specs (dependency order)section to extract:- Feature names
- One-line descriptions
- Dependencies for each feature
- Completion status (
[x]= done,[ ]= pending)
- If present, also read for context:
## Existing Spec Updates## Direct Implementation CandidatesDo not include these in dependency-wave execution; they are awareness-only inputs for sequencing and consistency review.
- For each pending feature in
## Specs (dependency order), verify.kiro/specs/<feature>/brief.mdexists - If any brief.md is missing, stop and report: "Missing brief.md for: [list]. Run
$kiro-discoveryto generate briefs first."
Step 2: Build Dependency Waves
Group pending features into waves based on dependencies:
- Wave 1: Features with no dependencies (or all dependencies already completed
[x]) - Wave 2: Features whose dependencies are all in Wave 1 or already completed
- Wave N: Features whose dependencies are all in earlier waves or already completed
Display the execution plan:
Spec Batch Plan:
Wave 1 (parallel): app-foundation
Wave 2 (parallel): block-editor, page-management
Wave 3 (parallel): sidebar-navigation, database-views
Wave 4 (parallel): cli-integration
Total: 6 specs across 4 waves
If roadmap contains ## Existing Spec Updates or ## Direct Implementation Candidates, mention them separately as non-batch items so the user can see the whole decomposition.
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.
- 5d ago First seen · 166 lines · 31 tokens per session scan A 6b490abdbc17
kiro-spec-batch is a skill published in the GitHub repository akaghef/M3E (11 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 1,994 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-02.
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