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/dailybothq/deepworkplan-skill/ai-diff-reviewernpx skills add DailybotHQ/deepworkplan-skill --skill ai-diff-reviewergit clone --depth 1 https://github.com/DailybotHQ/deepworkplan-skillWrote 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/dailybothq/deepworkplan-skill/ai-diff-reviewer)<a href="https://agentmods.dev/skills/dailybothq/deepworkplan-skill/ai-diff-reviewer"><img src="https://agentmods.dev/badge/skills/dailybothq/deepworkplan-skill/ai-diff-reviewer.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 | $0.00410 | $0.06915 |
| Opus 5 | $0.00205 | $0.03458 |
| Sonnet 5 | $0.00082 | $0.01383 |
| Haiku 4.5 | $0.00041 | $0.00692 |
Grade A, and why
ai-diff-reviewer 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 5d 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 — 570 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Diff Reviewer — Local & CI Companion Skill
The AI Diff Reviewer is a GitHub Action that runs an LLM review on every pull request in CI. This skill is its local counterpart — the same reviewer, driven by your coding agent (Cursor, Claude Code, Codex, Gemini, Copilot, Cline, Windsurf), on the branch you're editing right now. It also installs and configures the CI Action itself when your repo doesn't have it yet.
Two audiences, same skill.
- If your repo already runs the Action in CI → use the skill
locally to catch what CI would catch, seconds before pushing. When
CI is wired to the same extension file
(
prompt-extension-file: .review/extension.md), local and CI reviews match — same base prompt, same overrides. See the "Parity guarantee (Flow B)" section below for the wiring details. - If your repo doesn't have the Action yet (or you don't want it) → the skill still gives you the full review locally, AND — when you're ready — helps you install the Action in CI with sensible defaults for strictness, triggers, and external-contributor policy.
Five coordinated capabilities, routed by intent:
| # | Capability | Sub-skill | Surface |
|---|---|---|---|
| 1 | Run the review on the current branch | (default flow — this file) | 🖥️ Local |
| 2 | Author repo-specific overrides (.review/extension.md) |
generate-extension |
🖥️ Local + ☁️ CI (shared file) |
| 3 | Install the GitHub Action + write pr-review.yml |
setup |
☁️ CI |
| 4 | Draft the PR title + body from the diff | open-pr |
🖥️ Local → GitHub |
| 5 | Read the CI review on the PR + walk through findings to apply/defer/skip | apply-review |
☁️ CI → 🖥️ Local |
Sub-skill 3 (setup) also doubles as the reference manual for
every action.yml input via setup/reference.md
— any agent can answer "what does strictness do?" without opening
the action source.
Version parity. The prompt.md in this skill is
byte-identical to the one the Action ships in the same tagged release
(enforced by CI's Skills — prompt-sync invariant job). Pinning
@v2.0.0 on both surfaces guarantees the same methodology and severity
model (CI may additionally dedupe on round 2+ via Iteration-Aware
Review; local reviews stay a full pass).
Source: https://github.com/DailybotHQ/ai-diff-reviewer · License: MIT
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 570 lines · 410 tokens per session scan A 5efee1e8e897
ai-diff-reviewer is a skill published in the GitHub repository DailybotHQ/deepworkplan-skill (20 stars, last pushed 1mo ago), licensed MIT. It adds 410 tokens to every session and 6,915 once invoked, about $0.0020 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.
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