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 flasherses/claude-code-dotfiles --skill smart-reviewgit clone --depth 1 https://github.com/flasherses/claude-code-dotfilesWrote 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/flasherses/claude-code-dotfiles/smart-review)<a href="https://agentmods.dev/skills/flasherses/claude-code-dotfiles/smart-review"><img src="https://agentmods.dev/badge/skills/flasherses/claude-code-dotfiles/smart-review/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/flasherses/claude-code-dotfiles/smart-review"><img src="https://agentmods.dev/badge/skills/flasherses/claude-code-dotfiles/smart-review.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 | $0.00064 | $0.00653 |
| Opus 5.5 | $0.00026 | $0.00261 |
| Sonnet 5.5 | $0.00013 | $0.00131 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
smart-review 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smart Review — Injection Pattern Example
Demonstrates the Injection pattern (L13): a Skill that dynamically loads Agent system prompts based on context, rather than always running all agents.
Goal
Unlike /full-review (always dispatches 3 agents in parallel), Smart Review analyzes changed files and dispatches only relevant agents. If only Java files changed, skip the doc-explorer. If only config files changed, run only security-auditor.
How It Works (Injection Pattern)
Smart Review Skill
│
├── Analyze changed files
│ │
│ └── .java files? → Inject code-reviewer system prompt
│ └── .yml/.xml/.env? → Inject security-auditor system prompt
│ └── .md/.rst? → Inject doc-explorer system prompt
│ └── Mixed? → Inject multiple (parallel dispatch)
│
└── Dispatch selected agents → Collect → Consolidate
Execution
Step 1: Detect Changed Files
git diff --name-only HEAD 2>/dev/null || echo "ALL_FILES"
Step 2: Select Agents Based on File Types
| File Pattern | Agent(s) Selected |
|---|---|
*.java, *.py, *.ts, *.go |
code-reviewer |
*.yml, *.yaml, *.xml, .env*, pom.xml, package.json |
security-auditor |
*.md, *.rst, docs/** |
doc-explorer |
src/test/**, tests/** |
test-runner |
Step 3: Inject Agent Prompts
For each selected agent, load its system prompt from ~/.claude/agents/<name>.md and inject it into the review context. This is the Injection pattern — the Skill doesn't duplicate agent definitions, it references them.
Step 4: Parallel Dispatch + Consolidate
Same as /full-review Phase 2-4, but only for selected agents.
Benefits Over /full-review
| Aspect | /full-review | Smart Review |
|---|---|---|
| Agents dispatched | Always 3 | 1-3 based on context |
| Token cost | Higher (3x agent overhead) | Lower (only relevant agents) |
| Speed | ~3 agent runs | ~1-2 agent runs |
| Noise | May flag irrelevant issues | Focused on relevant checks |
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.
- 2mo ago First seen · 68 lines · 64 tokens per session scan A d3a1c8811d43
smart-review is a skill published in the GitHub repository flasherses/claude-code-dotfiles (6 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 653 once invoked, about $0.0003 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 2026-08-31.
smart-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| smart-reviewflasherses/claude-code-dotfiles | Skill | 6 | 3mo ago | MIT | A | 64 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |