openlore-review-changes

openlore-review-changes is a skill for Claude Code, Codex from clay-good/OpenLore. It costs 44 tokens per session (1,183 once invoked), scanned A, original, MIT.

A review workflow that examines code changes with OpenLore, a codebase model, and ranks their risk using change size, test coverage, callers, and structural reach.

In plain words
What is it for?
Use it for change reviews, pre-pull-request checks, safety audits, and merge recommendations. It reports findings without editing code.
Why use it?
It shows which changed functions may affect the most code and whether tests cover them, helping you decide if a branch is safe to merge.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for change reviews, pre-pull-request checks, safety audits, and merge recommendations. It reports findings without editing code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/clay-good/openlore/openlore-review-changes
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 clay-good/OpenLore --skill openlore-review-changes
Clone the repo
git clone --depth 1 https://github.com/clay-good/OpenLore

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 openlore-review-changes

README.md
[![agentmods](https://agentmods.dev/badge/skills/clay-good/openlore/openlore-review-changes/github.svg)](https://agentmods.dev/skills/clay-good/openlore/openlore-review-changes)
Your own site
<a href="https://agentmods.dev/skills/clay-good/openlore/openlore-review-changes"><img src="https://agentmods.dev/badge/skills/clay-good/openlore/openlore-review-changes/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.

agentmods 80×15 button for openlore-review-changes

Your own site · 80×15
<a href="https://agentmods.dev/skills/clay-good/openlore/openlore-review-changes"><img src="https://agentmods.dev/badge/skills/clay-good/openlore/openlore-review-changes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,183 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00044 $0.01183
Opus 5.5 $0.00018 $0.00473
Sonnet 5.5 $0.00009 $0.00237
Haiku 4.5 $0.00004 $0.00118

Measured 2mo ago against content hash ce058667322f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

openlore-review-changes 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 2mo 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.

examples/mistral-vibe/skills/openlore-review-changes/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

openlore: Review Changes

When to use this skill

Trigger this skill whenever the user asks to review, audit, or check the safety of recent changes, with phrasings like:

  • "review my changes"
  • "what did I break?"
  • "is this branch safe to merge?"
  • "pre-PR check"
  • "what's risky in this diff?"
  • "check the blast radius of my changes"
  • explicit command /openlore-review-changes

No code is written. Output is a risk-ranked review with a go/no-go recommendation.


Step 1 — Confirm directory and base ref

Ask: which project? Diff against which base? (default: main)

Store as $DIRECTORY and $BASE_REF.


Step 2 — Detect changed functions and risk scores

Call the openlore MCP tool detect_changes with:

{"directory": "$DIRECTORY", "base": "$BASE_REF"}

The risk score is multiplicative: likelihood × impact.

  • likelihood = how much was changed × how poorly covered it is ("called" tests count full; "imported"-only count 0.3×)
  • impact = structural blast radius (log fanIn + distance-weighted transitive callers weighted by callType + external boundary calls)

A function with fanIn=0 calling nothing external scores 0 regardless of change size — correct; focus on non-zero scores.

Present a risk-ranked table:

Rank Function File riskScore blastRadius fanIn testedBy

Flag:

  • riskScore ≥ 5 → 🔴 HIGH — must inspect
  • riskScore 2–5 → 🟡 MEDIUM — inspect if time allows
  • riskScore < 2 → 🟢 LOW

Step 3 — Deep-inspect each HIGH function

For each function with riskScore ≥ 5, call get_minimal_context:

{"directory": "$DIRECTORY", "functionName": "$FUNCTION_NAME"}

What to read:

  • function.riskLevel — "high" means the tool expanded caller/callee lists to 24. All shown entries are in the blast radius.
  • callers[*].callType — all "awaited" = async interface frozen; any signature change breaks every caller without a compile error in JS. Mixed = looser coupling.
  • callees[*].isExternal: true — function touches an external boundary (HTTP/DB). Failures here propagate outward and may not be caught in unit tests.
  • testedBy[*].confidence — "called" = direct test (strong safety net). "imported" = test file only imports the module; vi.mock() can neutralize it entirely. Only "imported" = effectively untested.

Read the full file on GitHub · 133 lines

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. 2mo ago First seen · 133 lines · 44 tokens per session scan A ce058667322f

Subscribe to this mod's changes

openlore-review-changes is a skill published in the GitHub repository clay-good/OpenLore (358 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 1,183 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 2026-08-30.

Related

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