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 agentmods add skills/dmitriyyukhanov/claude-plugins/implementation-prdnpx skills add DmitriyYukhanov/claude-plugins --skill implementation-prdgit clone --depth 1 https://github.com/DmitriyYukhanov/claude-pluginsWrote 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/dmitriyyukhanov/claude-plugins/implementation-prd)<a href="https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/implementation-prd"><img src="https://agentmods.dev/badge/skills/dmitriyyukhanov/claude-plugins/implementation-prd.svg" alt="Measured on agentmods" 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 | $0.00133 | $0.01055 |
| Opus 5 | $0.00067 | $0.00528 |
| Sonnet 5 | $0.00027 | $0.00211 |
| Haiku 4.5 | $0.00013 | $0.00105 |
Grade A, and why
implementation-prd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation PRD
Write specs that another coding agent can execute without reopening discovery.
Default Output
Create or update a spec bundle with these files:
<slug>_prd.md<slug>_contracts.md- one storage artifact:
<slug>_schema.sqlfor SQL-backed systems;<slug>_data-model.mdfor frontend-only work, NoSQL systems, or features with no relational schema change.
<slug>_testplan.md
Do not omit state design. If there is no durable storage delta, use the data-model artifact and state explicitly where state lives and why no schema change is needed.
When starting from scratch, scaffold the bundle with:
bash "${CLAUDE_PLUGIN_ROOT}/scripts/init-spec-bundle.sh" <slug> <product|feature|system> [output_dir] [sql|data-model]
Working Rules
- Decide early whether the request is a net-new product, a service or platform subsystem, or a complex feature inside an existing system.
- Mirror the user's language for prose. Keep code, contract types, enum values, and filenames in English unless the repo already uses another convention.
- Make explicit assumptions instead of leaving hidden gaps.
- Choose one recommended default architecture or stack when that removes downstream ambiguity. Do not present option menus unless the user asked for trade-off analysis.
- Keep MVP and non-goals sharp. Downstream implementation should know what not to build.
- Make surfaces explicit. A surface can be a UI screen, route, API endpoint, CLI command, webhook, worker job, admin panel, SDK entry point, or automation hook.
Bundle Workflow
- Normalize inputs: problem, persona or caller/operator, target action, constraints, monetization or entitlement, integrations, data sensitivity, and delivery surface.
- Draft the PRD first. Lock scope, scenarios, functional requirements, architecture, business rules, acceptance criteria, epics, implementation order, default technical decisions, risks, and Definition of Done.
- Derive contracts from the PRD. Cover domain types, service boundaries, API or IPC payloads, async job events, validation rules, and error envelopes.
- Derive the storage or data model artifact. Add durable entities, invariants, lifecycle states, and migration notes, or explicitly state that no schema change is needed and how state is represented.
- Derive the test plan from critical paths and failure modes. Cover fixtures, unit, integration, E2E, snapshots or golden tests when rendering or formatting matters, performance or smoke, negative cases, and exit criteria.
- Cross-check the files so naming, state machines, IDs, limits, and enum values match exactly.
What ships with it
10 files 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.
- assets/templates/contracts-template.md 1.7 KB
- assets/templates/data-model-template.md 1.1 KB
- assets/templates/feature-prd-template.md 2.8 KB
- assets/templates/product-prd-template.md 4.4 KB
- assets/templates/schema-template.sql 818 B
- assets/templates/system-prd-template.md 3.4 KB
- assets/templates/testplan-template.md 1.5 KB
- references/live2reels-source-map.md 3.4 KB
- references/quality-gates.md 2.7 KB
- references/spec-bundle-blueprint.md 5.8 KB
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 · 86 lines · 133 tokens per session scan A 74b16726f0d5
implementation-prd is a skill published in the GitHub repository DmitriyYukhanov/claude-plugins (7 stars, last pushed 2d ago), licensed MIT. It adds 133 tokens to every session and 1,055 once invoked, about $0.0007 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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