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.
npx skills add akka/ai-marketplace --skill plangit 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/skills/akka/ai-marketplace/plan)<a href="https://agentmods.dev/skills/akka/ai-marketplace/plan"><img src="https://agentmods.dev/badge/skills/akka/ai-marketplace/plan/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/akka/ai-marketplace/plan"><img src="https://agentmods.dev/badge/skills/akka/ai-marketplace/plan.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 | $0.00016 | $0.01141 |
| Opus 5 | $0.00008 | $0.00571 |
| Sonnet 5 | $0.00003 | $0.00228 |
| Haiku 4.5 | $0.00002 | $0.00114 |
Grade A, and why
plan 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 yesterday.
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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
You MUST consider the user input before proceeding (if not empty).
Outline
-
Setup: Call the
akka_sdd_list_specsMCP tool to find the target feature. Then callakka_sdd_get_templatewith template_name="plan" to get the plan template. Identify the feature's spec path (FEATURE_SPEC) and plan destination (FEATURE_DIR/plan.md). -
Load context: Read FEATURE_SPEC and
akka_sdd_constitution. Load IMPL_PLAN template (already copied). -
Execute plan workflow: Follow the structure in IMPL_PLAN template to:
- Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
- Fill Constitution Check section from constitution
- Evaluate gates (ERROR if violations unjustified)
- Phase 0: Generate research.md (resolve all NEEDS CLARIFICATION)
- Phase 1: Map domain concepts to Akka components (Component Architecture table), then generate data-model.md, contracts/, quickstart.md
- Re-evaluate Constitution Check post-design
-
Stop and report: Command ends after Phase 2 planning. Report branch, IMPL_PLAN path, and generated artifacts.
Phases
Phase 0: Outline & Research
-
Extract unknowns from Technical Context above:
- For each NEEDS CLARIFICATION → research task
- For each dependency → best practices task
- For each integration → patterns task
-
Generate and dispatch research agents:
For each unknown in Technical Context: Task: "Research {unknown} for {feature context}" For each technology choice: Task: "Find best practices for {tech} in {domain}" -
Consolidate findings in
research.mdusing format:- Decision: [what was chosen]
- Rationale: [why chosen]
- Alternatives considered: [what else evaluated]
Output: research.md with all NEEDS CLARIFICATION resolved
Phase 1: Design & Contracts
Prerequisites: research.md complete
- Map domain concepts to Akka components → the Component Architecture table in plan.md:
- Read the "Choosing a component type" section in
akka-context/sdk/components/index.html.md(first time in session) before mapping - For each domain concept, process, and query in the spec, choose the component per the decision guide: entity type (Key Value vs Event Sourced), Workflow vs Consumer, whether a View is needed, endpoint type, or a plain domain class instead of a component
- Record every choice in the table with the reason. Where the decision guide names a close alternative (entity type, view vs direct entity read, workflow vs consumer, timed action vs workflow timer), also record the rejected alternative and why it was not chosen
- ERROR if a close-call row lacks the rejected alternative
- Read the "Choosing a component type" section in
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.
- yesterday Changed · +7 lines 3f3c0dea9716
- 10d ago First seen · 85 lines · 16 tokens per session scan A bf31c9e4ed67
plan is a skill published in the GitHub repository akka/ai-marketplace (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 16 tokens to every session and 1,141 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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gsd-audit-milestone
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gsd-validate-phase
Retroactively audit and fill Nyquist validation gaps for a completed phase.
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