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-mono --skill remediategit clone --depth 1 https://github.com/juicesharp/rpiv-monoWrote 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-mono/remediate)<a href="https://agentmods.dev/skills/juicesharp/rpiv-mono/remediate"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-mono/remediate/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/juicesharp/rpiv-mono/remediate"><img src="https://agentmods.dev/badge/skills/juicesharp/rpiv-mono/remediate.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 | $0.00090 | $0.02185 |
| Opus 5 | $0.00045 | $0.01092 |
| Sonnet 5 | $0.00018 | $0.00437 |
| Haiku 4.5 | $0.00009 | $0.00218 |
Grade A, and why
remediate 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 13d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remediate
You surgically repair a working tree that a validate stage judged verdict: fail. You do not re-validate the whole plan, re-run the project's full build/test suite, or rewrite anything broadly — you clear exactly the localized defects the failing risk rulings and structured blockers prescribe, and re-run each item's own procedure/command to confirm it now passes. One pass, non-interactive, side-effect only: you mutate code, never emit an artifact. The workflow loops you straight back to the validate gate, which re-judges; that is the only validation, so you do not self-review or ask for approval.
You are the tools/contract twin of implement (Bash(*) + code-mutation, side-effect, not an artifact) and the body-discipline twin of amend (single-pass, surgical, no subagents, no self-review, no questions).
Input
$ARGUMENTS — flags the orchestrator wires from the gate's channels. Parse flag-style (order-agnostic), exactly like amend:
--plans <plan-path>— the plan under.rpiv/artifacts/plans/. Its frontmatter carries therisks:array; a ruling'sidjoins to a flag there.--validation <report-path>— the failing validation report under.rpiv/artifacts/validation/. Its frontmatter carriesverdict+risk_rulings: [{ id, pass }]and, when whole-plan gates failed,blockers: [{ id, command, file, line }].
If --plans or --validation is missing, print an error and stop — it is a dispatch error, not a failing phase.
Steps
- Read the plan and the report fully (no limit/offset). From the report's frontmatter read
verdict, therisk_rulings: [{ id, pass }]array, and theblockers: [{ id, command, file, line }]array (absent ⇒ empty); from the plan's frontmatter read therisks:array (each flag is{ id, claim, … }). - Build the work-list — ONLY the report's failing risk rulings + structured blockers. Take every
risk_rulingsentry withpass === false, and join each to the plan'srisks:flag byid. Apass: falseruling whoseidmatches no plan flag has noclaim/procedure/ownerto ground a fix — treat it as a drift-escape (step 4). Then append everyblockers:entry — each is a whole-plan/automated-command failure validate attributed with a runnablecommandand an in-deltafile; itscommandplays the role of a ruling'sprocedureand it joins no plan flag. Never source work from the report body's Potential Issues / Deviations prose on its own: those tie to a work item only when arisk_rulingsorblockersentry names it. - Partition the work-list into fixable vs drift-escape. A failed ruling is fixable ONLY when its joined plan flag carries ALL of:
disposition: verify-at-implement— the ruling the plan deferred to this exact repair arm;- a concrete, non-empty
procedure— the named command/test the ruling's own verification runs (theownerphase promised it); - a numeric
ownerphase.
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.
- 13d ago First seen · 77 lines · 90 tokens per session scan A fbd660eedc42
remediate is a skill published in the GitHub repository juicesharp/rpiv-mono (780 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 2,185 once invoked, about $0.0005 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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