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-monkeypatch-resolvegit 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-monkeypatch-resolve)<a href="https://agentmods.dev/skills/rigortype/rigor/rigor-monkeypatch-resolve"><img src="https://agentmods.dev/badge/skills/rigortype/rigor/rigor-monkeypatch-resolve/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-monkeypatch-resolve"><img src="https://agentmods.dev/badge/skills/rigortype/rigor/rigor-monkeypatch-resolve.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 | $0.00059 | $0.00902 |
| Opus 5.5 | $0.00024 | $0.00361 |
| Sonnet 5.5 | $0.00012 | $0.00180 |
| Haiku 4.5 | $0.00006 | $0.00090 |
Grade A, and why
rigor-monkeypatch-resolve 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rigor Monkeypatch Resolve
When a project adds methods to existing classes in its own files — the
classic lib/core_ext/*.rb class String; def squish; …; end pattern —
Rigor does not see them unless told to, so every call to the added method
fires call.undefined-method (or call.unresolved-toplevel for a
top-level helper). pre_eval: (ADR-17)
fixes this: it pre-evaluates the listed project files and registers every
method they define with a literal def / def self..
First: load the version-current copy
This skill's exact commands, flags, and config keys 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-monkeypatch-resolve
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
rigor triageshows a cluster ofcall.undefined-method/call.unresolved-toplevelwhose receiver is a core class the project monkey-patches (or a top-level helper the project defines).
When NOT to use
- The methods are generated dynamically (
define_methodwith a computed name,method_missing, aclass_eval <<~RUBY … def #{name}heredoc).pre_eval:walks for literaldefs and will not find them — that residue is arigor-plugin-authorjob. - The cluster is on a third-party gem with no RBS — that is
rigor-rbs-setup.
Procedure
Phase 1 — confirm it is a monkey-patch cluster
rigor triage --format json
Look at the selectors / hotspots: a cluster keyed on a core receiver
(String#squish, Integer#…) or a top-level helper, all pointing back
to a file in your project that defines them. Open that file and confirm
the methods are written as literal def / def self..
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 · 97 lines · 59 tokens per session scan A e51a6c73b416
rigor-monkeypatch-resolve is a skill published in the GitHub repository rigortype/rigor (107 stars, last pushed today), licensed MPL-2.0. It adds 59 tokens to every session and 902 once invoked, about $0.0002 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-monkeypatch-resolve compared with skills from other repositories
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|---|---|---|---|---|---|---|---|
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