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/danweinerdev/claude-sdd-planner/implementnpx skills add danweinerdev/claude-sdd-planner --skill implementgit clone --depth 1 https://github.com/danweinerdev/claude-sdd-plannerWhat 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 | $0.00033 | $0.05099 |
| Opus 5 | $0.00016 | $0.02550 |
| Sonnet 5 | $0.00007 | $0.01020 |
| Haiku 4.5 | $0.00003 | $0.00510 |
Grade A, and why
implement 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/implement — Execute Plan Phase
Path Resolution
The plugin directory contains commands/, agents/, and shared/ as siblings. Find it by globbing for **/commands/research/SKILL.md in both the current directory and ~/.claude/plugins/cache/; if multiple versions match, sort them as semantic versions (like sort -V) and use the highest, then strip commands/research/SKILL.md from the match. Resolve the planning root (artifacts) and target repository per shared/path-resolution.md in the plugin directory. Also read shared/completion-evidence.md — no task, phase, or plan flips to complete without conforming retrospective evidence.
When to Use
When a plan is approved and you're ready to implement a phase. This skill coordinates implementation: it delegates actual code work to code-implementer agents, runs them in parallel where dependencies allow, triggers quality-scanner agents after each task for a fast intent-blind quality check, and manages the review-fix cycle. It bridges the gap between /plan (which defines what to build) and /debrief (which captures what happened).
Per-task reviews during /implement dispatch quality-scanner directly (not the full four-lane review) because the relevant question after a single task is "is this code any good?" not "does the whole phase still align with the plan?". The full four-lane orchestrated review happens at end-of-phase via /code-review, which dispatches drift-detector, quality-scanner, spec-compliance, and blind-spot-finder in parallel and synthesizes their reports.
Process
1. Select Phase
- Scan
Plans/for plans whose README frontmatterstatusisapprovedoractive(skipdraft,complete, andarchived) - Ask which plan and phase to implement (or infer from context)
- Read the plan README to understand overall context and phase dependencies
- Read the target phase document to get the task list
- Verify prerequisites:
- Plan status must be
approvedoractive - Phase status must be
plannedorin-progress(notcomplete,blocked, ordeferred) - Any phases in
depends_onmust becomplete
- Plan status must be
- If plan status is
approved, update the README frontmatterstatustoactive - If phase status is
planned, update it toin-progress
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.
- yesterday First seen · 247 lines · 33 tokens per session scan A 887a9d8131fc
implement is a skill published in the GitHub repository danweinerdev/claude-sdd-planner (2 stars, last pushed 4d ago), licensed MIT. It adds 33 tokens to every session and 5,099 once invoked, about $0.0002 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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