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/drag88/claude-dev-framework/plan-reviewgit clone --depth 1 https://github.com/drag88/claude-dev-frameworkWhat 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 | $0.00022 | $0.00337 |
| Opus 5 | $0.00011 | $0.00169 |
| Sonnet 5 | $0.00004 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
plan-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 2d 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.
What it actually says
/cdf:plan-review - Plan Review Gauntlet
Triggers
- Review gate for high-stakes plans produced by
/cdf:plan - Review of
docs/plans/*.mdanddocs/brainstorms/*.md - Review of inline plans before implementation
- Product, engineering, UX/DX, risk, or execution-readiness challenge requests
Context Trigger Pattern
/cdf:plan-review [plan-file-path or inline plan]
Delegation: compound-engineering
This command delegates to the compound-engineering:ce-doc-review host skill.
Requires: the compound-engineering plugin. If it is not installed, stop and tell the user to install the compound-engineering plugin for their host (install commands are in the README) — do not improvise a replacement flow.
Flow: Invoke the compound-engineering:ce-doc-review host skill, passing the document path (or the inline plan) as the argument. Do not forward --flag-style tokens — the skill parses a document path plus its own mode: tokens only.
CDF constraints (bind on top of the skill):
- This is the review gate for high-stakes plans from
/cdf:planbefore execution. - Review
docs/plans/*.md,docs/brainstorms/*.md, and inline plans. - Keep CDF approval readiness as the framing for the review result.
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.
- 2d ago First seen · 31 lines · 22 tokens per session scan A ab808245731a
plan-review is a command published in the GitHub repository drag88/claude-dev-framework (2 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 337 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
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.