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.
git clone --depth 1 https://github.com/jamditis/claude-skills-journalismWrote 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/jamditis/claude-skills-journalism/plan-review)<a href="https://agentmods.dev/commands/jamditis/claude-skills-journalism/plan-review"><img src="https://agentmods.dev/badge/commands/jamditis/claude-skills-journalism/plan-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/commands/jamditis/claude-skills-journalism/plan-review"><img src="https://agentmods.dev/badge/commands/jamditis/claude-skills-journalism/plan-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 | $0.00016 | $0.01945 |
| Opus 5 | $0.00008 | $0.00972 |
| Sonnet 5 | $0.00003 | $0.00389 |
| Haiku 4.5 | $0.00002 | $0.00194 |
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 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- plan-review — 100% identical, 42 lines differ
- plan-review — 91% identical, 92 lines differ
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load the visual-explainer skill, then generate a comprehensive visual plan review as a self-contained HTML page, comparing the current codebase against a proposed implementation plan.
Follow the visual-explainer skill workflow. Read the reference template, CSS patterns, and mermaid theming references before generating. Use a blueprint/editorial aesthetic with current-state vs. planned-state panels, but vary fonts and palette from previous diagrams.
Inputs:
- Plan file:
$1(path to a markdown plan, spec, or RFC document) - Codebase:
$2if provided, otherwise the current working directory
Data gathering phase, read and cross-reference these before generating:
-
Read the plan file in full. Extract:
- The problem statement and motivation
- Each proposed change (files to modify, new files, deletions)
- Rejected alternatives and their reasoning
- Any explicit scope boundaries or non-goals
-
Read every file the plan references. For each file mentioned in the plan, read the current version in full. Also read files that import or depend on those files, the plan may not mention all ripple effects.
-
Map the blast radius. From the codebase, identify:
- What imports/requires the files being changed (grep for import paths)
- What tests exist for the affected files (look for corresponding
.test.*/.spec.*files) - Config files, types, or schemas that might need updates
- Public API surface that callers depend on
-
Cross-reference plan vs. code. For each change the plan proposes, verify:
- Does the file/function/type the plan references actually exist in the current code?
- Does the plan's description of current behavior match what the code actually does?
- Are there implicit assumptions about code structure that don't hold?
Verification checkpoint, before generating HTML, produce a structured fact sheet of every claim you will present in the review:
- Every quantitative figure: file counts, estimated lines, function counts, test counts
- Every function, type, and module name you will reference from both the plan and the codebase
- Every behavior description: what the code currently does vs. what the plan proposes
- For each, cite the source: the plan section or the file:line where you read it Verify each claim against the code and the plan. If something cannot be verified, mark it as uncertain rather than stating it as fact. This fact sheet is your source of truth during HTML generation, do not deviate from it.
Diagram structure, the page should include:
-
Plan summary, lead with the intuition: what problem does this plan solve, and what's the core insight behind the approach? Then the scope: how many files touched, estimated scale of changes, new modules or tests planned. A reader who only sees this section should understand the plan's essence. Visual treatment: this is the visual anchor, use hero depth (larger type 20-24px, subtle accent-tinted background, more padding than other sections).
-
Impact dashboard, files to modify, files to create, files to delete, estimated lines added/removed, new test files planned, dependencies affected. Include a completeness indicator: whether the plan covers tests (green/red), docs updates (green/yellow/red), and migration/rollback (green/grey for N/A).
-
Current architecture, Mermaid diagram of how the affected subsystem works today. Focus only on the parts the plan touches, don't diagram the entire codebase. Show the data flow, dependencies, and call paths that will change. Wrap in
.mermaid-wrapwith zoom controls (+/−/reset/expand buttons), Ctrl/Cmd+scroll zoom, click-and-drag panning, and click-to-expand (opens diagram full-size in new tab). See css-patterns.md "Mermaid Zoom Controls" for the full pattern including theopenMermaidInNewTab()function. Visual treatment: use matching Mermaid layout direction and node names as section 4 so the visual diff is obvious. -
Planned architecture, Mermaid diagram of how the subsystem will work after the plan is implemented. Use the same node names and layout direction as the current architecture diagram so the differences are visually obvious. Same zoom controls and click-to-expand as section 3. Highlight new nodes with a glow or accent border, removed nodes with strikethrough or reduced opacity, changed edges with a different stroke color.
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 · 87 lines · 16 tokens per session scan A 4ce12722ba5f
plan-review is a command published in the GitHub repository jamditis/claude-skills-journalism (389 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 1,945 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 2026-09-05.
Other commands, from other repositories
genshijin-review
A compact Japanese-language code-review command that reports one finding per line with a severity label and suggested fix.
review
Recent git commits: !git log --oneline -10.
review-open-prs
Command "review-open-prs" from The-Artificer-of-Ciphers-LLC/skills-from-the-artificer, covering batch pr review directive — all open prs i did not author, phase a — enumerate target prs & build the queue, phase b — per-pr directive (runs once per queued $pr), 0. context anchoring and 1. preconditions.
review
/review [optional: specific files or PR number].
resolve-review
Resolve reviewer feedback - from GitHub PRs, chat, or any reviewer.
pr-description
Write a pull request description that helps reviewers: what changed, why, and how to verify, from a diff.