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 rigortype/rigor --skill rigor-protection-upliftgit clone --depth 1 https://github.com/rigortype/rigorWrote 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/rigortype/rigor/rigor-protection-uplift)<a href="https://agentmods.dev/skills/rigortype/rigor/rigor-protection-uplift"><img src="https://agentmods.dev/badge/skills/rigortype/rigor/rigor-protection-uplift/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/rigortype/rigor/rigor-protection-uplift"><img src="https://agentmods.dev/badge/skills/rigortype/rigor/rigor-protection-uplift.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00064 | $0.01522 |
| Opus 5.5 | $0.00026 | $0.00609 |
| Sonnet 5.5 | $0.00013 | $0.00304 |
| Haiku 4.5 | $0.00006 | $0.00152 |
Grade A, and why
rigor-protection-uplift 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 11d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rigor Protection Uplift
rigor coverage --protection (Tier 1) and rigor coverage --protection --mutation (Tier 2) surface "add a type here" — they never author the
type. This skill acts on that surfacing under the discipline that keeps
Rigor false-positive-safe: protection goes up, and not one line of
working code starts reporting a new diagnostic.
First: load the version-current copy
This skill's exact commands, flags, carrier syntax, and rule ids drift between Rigor releases, so follow the copy that ships with the installed Rigor rather than any vendored or frozen copy of this file. Get the complete current procedure in one call:
rigor skill --full rigor-protection-uplift
If you already loaded this skill via rigor skill you have the current
copy — just proceed. If rigor is not on PATH, this task needs it: run
rigor-next-steps to install Rigor first, then come back.
When to use
- A user wants to raise how much of their code Rigor can actually catch bugs in.
- You have
coverage --protectionoutput (an "add a type here" list) and want to close it.
When NOT to use
- "Make my code more precise" with no protection goal — that is
rigor coverage(precision), not--protection. - A project with no Rigor config yet — onboard first with
rigor-project-init.
Load-bearing rules (read before touching a single type)
- The signal prioritises and verifies; the contract sources the type. Never write the type the coverage/mutation signal "wants". Write the type the code actually has, derived from the implementation and its callers. A type guessed from the signal is a false-confidence type — worse than no type.
- sig-gen first. A hand-written annotation is only the residual
rigor sig-gencannot reach. Every residual is a sig-gen-improvement to report, not just a private fix. - "Minimal" = annotation footprint, not minimal-to-kill-the-mutant. Optimising literally for mutant death games the metric. Add the smallest true annotation that models the contract; if that also kills the mutant, good.
- Robustness (ADR-5). Tighten returns, keep parameters lenient. An over-tight param annotation breaks callers and breaches the false-positive discipline.
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.
- 11d ago First seen · 147 lines · 64 tokens per session scan A ef09f88f244a
rigor-protection-uplift is a skill published in the GitHub repository rigortype/rigor (107 stars, last pushed today), licensed MPL-2.0. It adds 64 tokens to every session and 1,522 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-26.
rigor-protection-uplift compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| rigor-protection-upliftrigortype/rigor | Skill | 107 | today | MPL-2.0 | A | 64 | Claude Code, Codex |
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