spec-implementation-plan

spec-implementation-plan is a skill for Claude Code from drivestream-lab/prayog-skills. It costs 69 tokens per session (3,279 once invoked), scanned A, original, MIT.

A planning tool that turns an accepted initiative specification and review reports into a detailed implementation plan. It creates tables linking requirements, tasks, files, tests, risks, and verification evidence.

In plain words
What is it for?
Use it to prepare wave-level tasks, acceptance-test mappings, exit evidence, tool commands, and a WorkManifest YAML starting point for later board setup.
Why use it?
It gives engineers an executable work breakdown before coding begins and records how each requirement will be checked. It plans the work but does not implement it.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions AGENTS.md.

Good fit Use it to prepare wave-level tasks, acceptance-test mappings, exit evidence, tool commands, and a WorkManifest YAML starting point for later board setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/drivestream-lab/prayog-skills/spec-implementation-plan
Install

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.

Any agent
npx skills add drivestream-lab/prayog-skills --skill spec-implementation-plan
Clone the repo
git clone --depth 1 https://github.com/drivestream-lab/prayog-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for spec-implementation-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/spec-implementation-plan/github.svg)](https://agentmods.dev/skills/drivestream-lab/prayog-skills/spec-implementation-plan)
Your own site
<a href="https://agentmods.dev/skills/drivestream-lab/prayog-skills/spec-implementation-plan"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/spec-implementation-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.

agentmods 80×15 button for spec-implementation-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/drivestream-lab/prayog-skills/spec-implementation-plan"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/spec-implementation-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,279 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.03279
Opus 5 $0.00034 $0.01639
Sonnet 5 $0.00014 $0.00656
Haiku 4.5 $0.00007 $0.00328

Measured 2d ago against content hash 7bbdc4e940ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

spec-implementation-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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/adr_boundary_lint.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/development/spec-implementation-plan/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spec implementation plan

Turn an accepted initiative spec (+ feasibility report + technical review when present) into an executable plan with a WorkManifest artifact (§9). Do not implement — plan only.

Persist the plan locally and emit Forge readiness for the spec PR branch alongside spec, feasibility, and TDD. Table shape borrowed from awesome-copilot create-implementation-plan (REQ/TASK/FILE/TEST/RISK). §9 WorkManifest YAML is generated here; dev seeds the board after spec PR merge.

Prayog owns the WorkManifest contract (apiVersion: prayog/v1, prayog-skills/references/workmanifest-contract.md). Launchpad only materializes the pin — it does not own, parse, or execute WorkManifest.

NON-NEGOTIABLE

  1. Never skip a check in references/checks.md. Mark SKIPPED with reason.
  2. Every TASK has objective exit evidence: observable exit criteria, proving command or review, expected result, and evidence location — plus an Implements list of product REQ-* ids and toolchain commands where applicable. Do not invent shadow REQ-W* ids — see prayog-skills/references/id-conventions.md.
  3. Every acceptance criterion maps to a verification layer (unit, integration/contract, smoke, or sandbox) in the wave Verification Coverage table. Plan scope must not exceed the initiative spec.
  4. Dual output: chat summary + saved plan file (local + Forge readiness).
  5. Run T0–T5 control loop.
  6. Wave IDs must use W0, W1, … (one GitHub Issue per wave; WorkManifest id: convention).
  7. Every TASK row must include codebase, spec_path, verify_command, Implements REQ-*, depends_on, file path/action scope, and exit proof fields — required for WorkManifest generation. §9 wave entries must include tasks[], verification, and a body table listing those TASK ids.
  8. Spec product-spec H1–H3 citations (and G1 when applicable) must agree with live handoff; tip continuous. Stop on authority drift. Feas/TDD file digests are walk-time only — not long-term stale SSOT. Implementation-Plan is walk-time (§9 → board); may be purged at initiative closure.
  9. Resolve canonical check_command, test_command, verify_command, and ground_command before planning. Required commands may come from the consumer profile, AGENTS.md, or tests_readme; missing required commands block the plan. verify_command is the live script entry under live_verify_dir — never {test_command} / unit-only. Use N/A with reason only when a layer is not applicable. When P15 applies (new/material product surface), bare N/A or unit-as-live is invalid — co-ship the verify FILE and fixture pack path(s) under fixtures_dir for the capability (CAP-*) and/or journey (J-*) rung being shipped (see references/checks.md P15; prayog-skills/references/live-fixture-contract.md).
  10. Persist the plan locally and fill handoff.forge for /commit-workspace onto the same Draft spec PR. Do not commit, push, branch, open PRs, apply labels, create issues, or merge inside this skill. Coding-readiness label stays spec-pending. After T5, present the coding-readiness unlock checklist from the output template so PE knows when to set spec-lgtm.
  11. Select workflow outcome from the rubric below; map evidence deterministically.
  12. Before coding-readiness, run a read-only cross-artifact consistency pass (spec ↔ plan REQ ids, plan ↔ §9 WorkManifest, Accepted ADR citations). Corrections belong in the owning artifact — do not invent a parallel truth in chat.
  13. Live-verify coverage lives in the artifact's own marker, not in tests/README.md or as a growing table in implementation-status.md — see prayog-skills/references/live-verify-coverage-contract.md. Run the required overlap check (P15) via --capability / --journey / --req before declaring a new live_verify_dir or fixture FILE. covers must include relevant CAP-* and/or J-* (plus REQ-*). As-built writes go to Implementation-Status-{INIT}.md (detail) + one index row in implementation-status.md (pointer) — never a new table appended to the shared index.
  14. Capability ≠ journey. Plan separate prove artifacts/covers when both rungs ship; do not collapse journey proof into “all CAP journeys passed”. Populate dependencies, fixtures, and human_observations when opaque (logs alone are not pass evidence).
  15. If a codegraph provider is available (MCP tool matching prayog-skills/references/codegraph-tool-contract.md, or a local CLI), prefer it for architecture/impact/coverage questions. Always fall back to direct source_roots reads when unavailable — never block or change outcome selection on its absence.

Read the full file on GitHub · 215 lines

Changes

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.

  1. 2d ago Changed · +8 lines 7bbdc4e940ba
  2. 9d ago First seen · 207 lines · 69 tokens per session scan A 0a1ff676481d

Subscribe to this mod's changes

spec-implementation-plan is a skill published in the GitHub repository drivestream-lab/prayog-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 69 tokens to every session and 3,279 once invoked, about $0.0003 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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