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/akka/ai-marketplaceWrote 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/akka/ai-marketplace/checklist)<a href="https://agentmods.dev/commands/akka/ai-marketplace/checklist"><img src="https://agentmods.dev/badge/commands/akka/ai-marketplace/checklist/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/akka/ai-marketplace/checklist"><img src="https://agentmods.dev/badge/commands/akka/ai-marketplace/checklist.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 | $0.00013 | $0.03698 |
| Opus 5 | $0.00006 | $0.01849 |
| Sonnet 5 | $0.00003 | $0.00740 |
| Haiku 4.5 | $0.00001 | $0.00370 |
Grade A, and why
checklist 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 9d 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
88% identical to checklist — 162 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Checklist Purpose: "Unit Tests for English"
CRITICAL CONCEPT: Checklists are UNIT TESTS FOR REQUIREMENTS WRITING - they validate the quality, clarity, and completeness of requirements in a given domain.
NOT for verification/testing:
- NOT "Verify the button clicks correctly"
- NOT "Test error handling works"
- NOT "Confirm the API returns 200"
- NOT checking if code/implementation matches the spec
FOR requirements quality validation:
- "Are visual hierarchy requirements defined for all card types?" (completeness)
- "Is 'prominent display' quantified with specific sizing/positioning?" (clarity)
- "Are hover state requirements consistent across all interactive elements?" (consistency)
- "Are accessibility requirements defined for keyboard navigation?" (coverage)
- "Does the spec define what happens when logo image fails to load?" (edge cases)
Metaphor: If your spec is code written in English, the checklist is its unit test suite. You're testing whether the requirements are well-written, complete, unambiguous, and ready for implementation - NOT whether the implementation works.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Execution Steps
-
Setup: Call the
akka_sdd_list_specsMCP tool to find features and their available documents. From the response, identify the target feature's FEATURE_DIR and which artifacts exist (AVAILABLE_DOCS: spec.md, plan.md, tasks.md, etc.). If no features exist, instruct the user to run/akka-specify:specifyfirst.- All file paths must be absolute.
-
Clarify intent (dynamic): Derive up to THREE initial contextual clarifying questions (no pre-baked catalog). They MUST:
- Be generated from the user's phrasing + extracted signals from spec/plan/tasks
- Only ask about information that materially changes checklist content
- Be skipped individually if already unambiguous in
$ARGUMENTS - Prefer precision over breadth
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.
- 9d ago First seen · 294 lines · 13 tokens per session scan A 1eee5377ac6b
checklist is a command published in the GitHub repository akka/ai-marketplace (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 13 tokens to every session and 3,698 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to checklist, differing in 162 lines, and is treated as a copy.
Other commands, from other repositories
kiro-steering-custom
Command "kiro-steering-custom" from gotalab/cc-sdd, covering kiro custom steering creation, workflow, available templates, steering principles and tool guidance.
autospec.plan
Generate YAML implementation plan from feature specification.
kiro-validate-design
Command "kiro-validate-design" from gotalab/cc-sdd, covering technical design validation, core task, execution steps, important constraints and tool guidance.
superpowers-execute
Execute the current GSD phase plan with Superpowers instead of gsd-execute-phase.
devs-team
Parallel multi-lens critique of a solution design (the active spec if present, else the decision brief). Dispatches 5 engineering lenses, merges findings, reports a verdict. Report-only, never blocks.
code-locate
Given a behavior description, locate candidate code paths and line ranges in the active codebase that probably implement it. Output up to 10 candidates with HIGH/MEDIUM/LOW confidence, one-line rationale per candidate, and an explicit search trail; propose a SOURCEOFTRUTH.md update so the next workflow step (typically…