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 commands/cassler/awesome-claude-code-setup/ultrareviewgit clone --depth 1 https://github.com/cassler/awesome-claude-code-setupWrote 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/commands/cassler/awesome-claude-code-setup/ultrareview)<a href="https://agentmods.dev/commands/cassler/awesome-claude-code-setup/ultrareview"><img src="https://agentmods.dev/badge/commands/cassler/awesome-claude-code-setup/ultrareview.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 | $0.00000 | $0.00566 |
| Opus 5 | $0.00000 | $0.00283 |
| Sonnet 5 | $0.00000 | $0.00113 |
| Haiku 4.5 | $0.00000 | $0.00057 |
Grade A, and why
ultrareview 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ultra Review
Run a comprehensive multi-agent code review on the current branch's changes.
Branch: ${BRANCH:-$(git branch --show-current)} Base: ${BASE:-main}
Review Scope
# Show what will be reviewed
git diff --stat ${BASE:-main}...HEAD
git log --oneline ${BASE:-main}..HEAD
Deep Analysis
Perform a thorough review covering all of the following areas. For each area, analyze every changed file in the diff above.
1. Correctness & Logic
- Are there off-by-one errors, null dereferences, or incorrect conditionals?
- Do edge cases produce correct behavior?
- Are async operations handled properly (race conditions, unhandled rejections)?
2. Security
ch cq secrets-scan
ch nlp security $(git diff --name-only ${BASE:-main}...HEAD | tr '\n' ' ')
- Injection vulnerabilities (SQL, command, XSS)
- Authentication / authorization gaps
- Sensitive data in logs or error messages
3. Performance
ch nlp complexity $(git diff --name-only ${BASE:-main}...HEAD | tr '\n' ' ')
- N+1 queries or unnecessary loops
- Missing indexes or expensive operations in hot paths
- Memory leaks or unbounded data structures
4. Test Coverage
# Find changed files with no corresponding test
git diff --name-only ${BASE:-main}...HEAD | grep -v test | while read f; do
base=$(basename "$f" | sed 's/\.[^.]*$//')
chs find-file "*${base}*test*" || echo "No tests found for: $f"
done
5. Code Quality
ch nlp smells $(git diff --name-only ${BASE:-main}...HEAD | tr '\n' ' ')
ch cq large-files 300
- Functions over 50 lines
- Deep nesting (>3 levels)
- Duplicate logic that should be extracted
6. Documentation
- Are public APIs documented?
- Are non-obvious decisions explained with comments?
- Is the CHANGELOG or README updated if needed?
Review Report
After completing all analyses above, produce a structured report:
Summary: One paragraph describing the overall quality and risk level of these changes.
Must Fix (blocking): Issues that must be resolved before merge.
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 · 79 lines · 0 tokens per session scan A f0cb934d354d
ultrareview is a command published in the GitHub repository cassler/awesome-claude-code-setup (267 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 566 tokens. 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.