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/szoloth/skill-pack/agentic-reviewnpx skills add SZoloth/skill-pack --skill agentic-reviewgit clone --depth 1 https://github.com/SZoloth/skill-packWrote 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/szoloth/skill-pack/agentic-review)<a href="https://agentmods.dev/skills/szoloth/skill-pack/agentic-review"><img src="https://agentmods.dev/badge/skills/szoloth/skill-pack/agentic-review.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 | $0.00071 | $0.02079 |
| Opus 5 | $0.00036 | $0.01040 |
| Sonnet 5 | $0.00014 | $0.00416 |
| Haiku 4.5 | $0.00007 | $0.00208 |
Grade A, and why
agentic-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 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 — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Code Review
Deep, multi-agent code review for personal repos. Analyzes changes, prioritizes files, spawns specialized review agents in parallel, and synthesizes actionable findings.
When to Use
- After writing significant code, before committing
- Before pushing a branch
- Reviewing specific commits
- Comparing branches (e.g., feature vs main)
Usage
# Review all local changes (staged + unstaged)
skill agentic-review
# Review only staged changes
skill agentic-review --staged
# Review specific commit(s)
skill agentic-review abc123
skill agentic-review abc123..def456
# Review branch diff against main
skill agentic-review --branch feature-branch
skill agentic-review --branch HEAD # current branch vs main
How It Works
Phase 1: Detect & Gather Changes
First, determine what to review based on arguments:
# Check if we're in a git repo
git rev-parse --is-inside-work-tree 2>/dev/null || echo "NOT_GIT_REPO"
# Get current branch
git branch --show-current
# Check for changes
git status --porcelain # Any local changes?
git diff --stat # Unstaged changes stats
git diff --cached --stat # Staged changes stats
Determine review scope from $ARGUMENTS:
| Argument | What to Review |
|---|---|
| (empty) | All local changes (staged + unstaged) |
--staged |
Only staged changes |
abc123 |
Specific commit |
abc123..def456 |
Commit range |
--branch NAME |
Branch diff vs main/master |
--branch HEAD |
Current branch vs main/master |
Phase 2: Pre-Scan & Prioritize Files
Analyze changed files to recommend review order:
# Get changed files with stats
git diff --numstat HEAD~1 2>/dev/null || git diff --numstat
# For each file, assess:
# - Lines changed (more = higher priority)
# - File type (src > test > config > docs)
# - Risk areas (auth, security, data, API)
Prioritization Heuristics:
- HIGH: Security-related files (auth, crypto, permissions, secrets)
- HIGH: Core business logic (models, services, controllers)
- MEDIUM: API endpoints, data access
- MEDIUM: Configuration files that affect runtime
- LOW: Tests, documentation, styling
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 · 293 lines · 71 tokens per session scan A 9b0b4e16c9a1
agentic-review is a skill published in the GitHub repository SZoloth/skill-pack (14 stars, last pushed 5mo ago), licensed MIT. It adds 71 tokens to every session and 2,079 once invoked, about $0.0004 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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