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/pleaseai/claude-code-plugins/reviewgit clone --depth 1 https://github.com/pleaseai/claude-code-pluginsWhat 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 | $0.00047 | $0.00733 |
| Opus 5 | $0.00023 | $0.00367 |
| Sonnet 5 | $0.00009 | $0.00147 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade B, and why
review scanned grade B with 2 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 yesterday.
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.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://cubic.dev/install | bash Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://cubic.dev/install | bash How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cubic AI Code Review
Run an AI-powered code review using Cubic CLI and apply fixes.
Workflow
Step 1: Determine review scope
Analyze $ARGUMENTS to determine the review mode:
| User Intent | Command |
|---|---|
| Review uncommitted changes (default) | cubic review --json |
| Review branch diff against base | cubic review --base <branch> --json |
| Review specific commit | cubic review --commit <ref> --json |
| Review with custom focus | cubic review --prompt "<instructions>" --json |
If $ARGUMENTS is empty, default to reviewing uncommitted changes.
Step 1.5: Sanitize arguments
Before constructing any Bash command, validate that user-provided values (branch names, commit refs, prompt text) do not contain shell metacharacters (;, &&, ||, |, `, $(), ', newlines). Always use single quotes around user-provided values when interpolating into shell commands. Reject any input containing command separators, substitution patterns, or single quotes (which break single-quote escaping).
Step 2: Run Cubic review
Execute the appropriate command via Bash. Always include --json for structured output. Ensure all user-provided arguments are properly shell-quoted.
cubic review --json
If cubic is not installed, inform the user:
cubic CLI is not installed. Install it with:
curl -fsSL https://cubic.dev/install | bash
# or: npm install -g @cubic-dev-ai/cli
Step 3: Parse and analyze results
Parse the JSON output. Each issue contains:
priority: Severity level (P0 = critical, P1 = high, P2 = medium, P3 = low)file: File path where the issue was foundline: Line number of the issuetitle: Brief description of the issuedescription: Detailed explanation
Step 4: Present findings
Summarize the review results grouped by priority:
=== Cubic Review Results ===
Found N issues (X critical, Y high, Z medium, W low)
[P0] file:line - title
description
[P1] file:line - title
description
...
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.
- yesterday First seen · 99 lines · 47 tokens per session scan B 82aa6ad8ab12
review is a command published in the GitHub repository pleaseai/claude-code-plugins (13 stars, last pushed 7d ago), licensed MIT. It adds 47 tokens to every session and 733 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (downloads and executes remote code, makes network calls). 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.
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.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.