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 juicesharp/rpiv-pi --skill validategit clone --depth 1 https://github.com/juicesharp/rpiv-piWrote 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/juicesharp/rpiv-pi/validate)<a href="https://agentmods.dev/skills/juicesharp/rpiv-pi/validate"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-pi/validate.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 5.1 | $0.00026 | $0.01253 |
| Opus 5 | $0.00013 | $0.00626 |
| Sonnet 5 | $0.00005 | $0.00251 |
| Haiku 4.5 | $0.00003 | $0.00125 |
Grade A, and why
validate 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 7d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validate Plan
You are tasked with validating that an implementation plan was correctly executed, verifying all success criteria and identifying any deviations or issues.
Initial Setup
When invoked:
-
Determine context - Are you in an existing conversation or starting fresh?
- If existing: Review what was implemented in this session
- If fresh: Need to discover what was done through git and codebase analysis
-
Locate the plan:
- If plan path provided, use it
- Otherwise, search recent commits for plan references or ask user
-
Gather implementation evidence:
# Check recent commits git log --oneline -n 20 git diff HEAD~N..HEAD # Where N covers implementation commits # Run comprehensive checks cd $(git rev-parse --show-toplevel) && make check test
Validation Process
Step 1: Context Discovery
If starting fresh or need more context:
If the injected git context shows "not a git repo":
- Skip git-based evidence gathering (git log, git diff)
- Validate via file inspection, automated test commands, and plan checklist
- Note in report: "Git history unavailable — validation based on file inspection only"
-
Read the implementation plan completely
-
Identify what should have changed:
- List all files that should be modified
- Note all success criteria (automated and manual)
- Identify key functionality to verify
-
Spawn parallel research agents to verify implementation:
Use the Agent tool to spawn general-purpose sub-agents to validate the implementation:
- general-purpose agent — Verify implementation details match plan specifications (analyzer role)
- general-purpose agent — Verify implementation follows established codebase patterns (pattern-finder role)
Example agent prompts:
- "Analyze [component] and verify it implements [plan requirement] correctly"
- "Find patterns similar to [new code] and check if conventions are followed"
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.
- 7d ago First seen · 176 lines · 26 tokens per session scan A 74a3bb98c7b5
validate is a skill published in the GitHub repository juicesharp/rpiv-pi (11 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 1,253 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 2026-08-30.
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