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 agentmods add skills/clay-good/openlore/openlore-review-changesnpx skills add clay-good/OpenLore --skill openlore-review-changesgit clone --depth 1 https://github.com/clay-good/OpenLoreWrote 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/clay-good/openlore/openlore-review-changes)<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="Measured on agentmods" 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 | $0.00044 | $0.01183 |
| Opus 5 | $0.00022 | $0.00592 |
| Sonnet 5 | $0.00009 | $0.00237 |
| Haiku 4.5 | $0.00004 | $0.00118 |
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 6d 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 — 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": "$BASE_REF"}
The risk score is multiplicative: likelihood × impact.
likelihood= how much was changed × how poorly covered it is ("called"tests count full;"imported"-only count 0.3×)impact= structural blast radius (log fanIn + distance-weighted transitive callers weighted by callType + external boundary calls)
A function with fanIn=0 calling nothing external scores 0 regardless of change size — correct; focus on non-zero scores.
Present a risk-ranked table:
| Rank | Function | File | riskScore | blastRadius | fanIn | testedBy |
|---|
Flag:
riskScore ≥ 5→ 🔴 HIGH — must inspectriskScore 2–5→ 🟡 MEDIUM — inspect if time allowsriskScore < 2→ 🟢 LOW
Step 3 — Deep-inspect each HIGH function
For each function with riskScore ≥ 5, call get_minimal_context:
{"directory": "$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.
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.
- 6d ago First seen · 133 lines · 44 tokens per session scan A ce058667322f
openlore-review-changes is a skill published in the GitHub repository clay-good/OpenLore (296 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 1,183 once invoked, about $0.0002 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.
Other skills, from other repositories
campus-fyp-architecture
Activate when a student asks for help architecting, scoping, or documenting a university Final Year Project (FYP), software capstone, or research-linked undergraduate thesis project — trigger phrasings include "help me design the architecture for my final year project", "what tech stack should I use for my FYP", "how…
architecture-decision-record-creator
Create structured Architecture Decision Records (ADRs) with 7 sections to document architecture decisions with full justification. Use this skill whenever the user has made or needs to make an architecture decision, wants to document why a technical choice was made, is choosing between technologies or patterns, needs…
software-architect
Software architecture engineering consultancy skill. Analyzes overall application structure, recommends sustainable approaches, enforces architectural consistency, and documents decisions for future sessions. Use this skill whenever the user asks about system design, architecture decisions, feature integration…
autoprompt
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
autoprompt
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.
create-modal
Create declarative modals using the modal library API. Covers modal types (confirm, input, select, form), sections (Text, Buttons, Input, Textarea, Checkbox, List, Combo, When, Custom), rendering with OverlayModal, and keyboard/mouse handling. Use when adding modals or dialogs to the application.