coderef-probe

coderef-probe is a skill for Claude Code, Codex from keaizuizui/CodeRef-AI. It costs 284 tokens per session (2,412 once invoked), scanned A, original, no licence file.

A workflow guide for CodeRef-AI tools that checks code changes in small, focused stages. It is designed for quick checks before commits and in continuous integration, the automated checks that run during development.

In plain words
What is it for?
It is for incremental code-change checks, regression protection, deterministic verification, noise reduction, and recording or escalating findings.
Why use it?
It helps catch regressions, verify AI-generated claims, reduce false alarms, and close small issues without running a large review process every time.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for incremental code-change checks, regression protection, deterministic verification, noise reduction…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/keaizuizui/coderef-ai/coderef-probe
Install

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.

Any agent
npx skills add keaizuizui/CodeRef-AI --skill coderef-probe
Clone the repo
git clone --depth 1 https://github.com/keaizuizui/CodeRef-AI

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for coderef-probe

README.md
[![agentmods](https://agentmods.dev/badge/skills/keaizuizui/coderef-ai/coderef-probe.svg)](https://agentmods.dev/skills/keaizuizui/coderef-ai/coderef-probe)
Your own site
<a href="https://agentmods.dev/skills/keaizuizui/coderef-ai/coderef-probe"><img src="https://agentmods.dev/badge/skills/keaizuizui/coderef-ai/coderef-probe.svg" alt="Measured on agentmods" height="20"></a>
Per session 284 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,412 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00284 $0.02412
Opus 5 $0.00142 $0.01206
Sonnet 5 $0.00057 $0.00482
Haiku 4.5 $0.00028 $0.00241

Measured 2d ago against content hash cca508c7ed74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

coderef-probe 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 2d 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.

skills/coderef-probe/SKILL.md · 73 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 2d ago Changed · +42 tokens per session cca508c7ed74
  2. 6d ago First seen · 73 lines · 242 tokens per session scan A 69ef0043cfeb

Subscribe to this mod's changes

coderef-probe is a skill published in the GitHub repository keaizuizui/CodeRef-AI (4 stars, last pushed yesterday), with no licence file. It adds 284 tokens to every session and 2,412 once invoked, about $0.0014 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 2026-08-31.

Related

Other skills, from other repositories

ring:test-driven-development

Enforcing the RED-GREEN-REFACTOR loop: write one failing test and watch it fail, write minimal code to pass, then refactor green. Use when starting implementation of a new feature or bugfix, or writing any new production code. Requires pasted failure output as proof of RED; code written before its test must be…

LerianStudio/ring · 89 tokens

ring:detecting-goroutine-leaks

Detecting goroutine leaks in Go: greps for goroutine patterns, audits goleak coverage (VerifyTestMain/VerifyNone), runs goleak, and dispatches ring:backend-go to fix leaks and add regression tests. Use after implementation or during review when code spawns goroutines or a leak is suspected. Runs before…

LerianStudio/ring · 109 tokens

roundtrip-radar

Per-journey code audit tracing data through complete user flows for bugs, data safety, performance, and round-trip completeness. Discovers workflows, audits each end-to-end, rolls up cross-cutting issues, and supports natural-language flow tracing. Triggers: "roundtrip audit", "trace user journey", "/roundtrip-radar".

Terryc21/radar-suite · 73 tokens

bugfix-quick

Fast bug fixes with root cause investigation + TDD. Enforces 'no fix without root cause' discipline and verification protocol. Without this skill, fixes are applied at symptoms instead of sources, and bugs return.

nguyenthienthanh/aura-frog · 47 tokens

debug

Systematic bug investigation with a five-phase framework: reproduce, narrow, diagnose, fix, verify. Supports automated regression bisect via --regression flag. Produces a structured debug report with root cause analysis, regression test, and CQ/Q self-evaluations.

greglas75/zuvo · 55 tokens

bug-fix

Guided end-to-end bug-fix workflow for Plan Forge tempering bugs — load → pre-fix review → write failing test → fix → validate → post-fix sweep → close. Composes /code-review, /clean-code-review, /forge-quench, and /test-sweep around the forgebug tool surface so a fix never closes without a regression check.

srnichols/plan-forge · 80 tokens