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 bostonaholic/rpikit --skill implementing-plansgit clone --depth 1 https://github.com/bostonaholic/rpikitWrote 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/bostonaholic/rpikit/implementing-plans)<a href="https://agentmods.dev/skills/bostonaholic/rpikit/implementing-plans"><img src="https://agentmods.dev/badge/skills/bostonaholic/rpikit/implementing-plans/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/bostonaholic/rpikit/implementing-plans"><img src="https://agentmods.dev/badge/skills/bostonaholic/rpikit/implementing-plans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.02641 |
| Opus 5 | $0.00018 | $0.01321 |
| Sonnet 5 | $0.00007 | $0.00528 |
| Haiku 4.5 | $0.00004 | $0.00264 |
Grade A, and why
implementing-plans 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.
How it starts
The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implementation Phase
Execute the implementation plan for: $ARGUMENTS
Purpose
Implementation executes an approved plan with discipline and verification. The goal is not just working code, but verified, documented progress that matches the plan. Implementation follows the plan strictly, verifying each step before proceeding.
Process
1. Locate the Plan
If $ARGUMENTS is a file path (starts with / or docs/ or ends with .md):
- Read the file at that path directly
- Check if plan is marked approved
- Proceed based on stakes level
Otherwise, search for plan by topic:
Look for plan at: docs/plans/YYYY-MM-DD-<topic>-plan.md
(Search for files matching *-<topic>-plan.md pattern using $ARGUMENTS as the topic)
If plan exists:
- Read the plan document
- Check if plan is marked approved
- Proceed based on stakes level
If no plan exists:
- Check stakes level of the requested work
- Apply enforcement based on stakes
2. Apply Stakes-Based Enforcement
High Stakes (architectural, security-sensitive, hard to rollback):
Cannot proceed without an approved plan.
High-stakes implementations require:
1. Research phase (rpikit:researching-codebase skill)
2. Approved plan (rpikit:writing-plans skill)
Invoke the Skill tool with skill "rpikit:writing-plans" to create a plan first.
Stop and do not proceed.
Medium Stakes (multiple files, moderate impact):
Warning: No approved plan found for '$ARGUMENTS'.
Medium-stakes changes benefit from planning.
Use AskUserQuestion with options:
- "Create a plan first" (recommended)
- "Proceed with caution"
- "Cancel"
Low Stakes (isolated, easy rollback):
Note: Consider rpikit:researching-codebase and rpikit:writing-plans skills for better results.
Proceeding with implementation...
Proceed with inline planning.
3. Offer Worktree Isolation
Before making changes, offer to create an isolated worktree.
First, check if already in a worktree:
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 · 441 lines · 36 tokens per session scan A 6a987703980e
implementing-plans is a skill published in the GitHub repository bostonaholic/rpikit (20 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 2,641 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 2026-08-30.
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