What is jstar-reviewer?

A guide for installing, configuring, and using J-Star Reviewer, an npm package for reviewing software projects. npm is the package system commonly used by JavaScript and Node.js projects.

Use it to set up J-Star in a repository, publish or use the package, initialize its index, run project reviews, or run security audits through JSON or headless commands.

It collects the steps for setting up J-Star, preparing its local index, and running its review and security checks.

How JStaRFilms/deprecated-Takomi_Code configures Codex

Reuse

Borrowing it

Nothing to install: this file belongs to JStaRFilms/deprecated-Takomi_Code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/JStaRFilms/deprecated-Takomi_Code/master/.agent/skills/jstar-reviewer/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/JStaRFilms/deprecated-Takomi_Code

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jstarfilms/deprecated-takomi_code/jstar-reviewer/github.svg)](https://agentmods.dev/skills/jstarfilms/deprecated-takomi_code/jstar-reviewer)

Your own site

<a href="https://agentmods.dev/skills/jstarfilms/deprecated-takomi_code/jstar-reviewer"><img src="https://agentmods.dev/badge/skills/jstarfilms/deprecated-takomi_code/jstar-reviewer/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jstarfilms/deprecated-takomi_code/jstar-reviewer"><img src="https://agentmods.dev/badge/skills/jstarfilms/deprecated-takomi_code/jstar-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,188 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

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	$0.00067	$0.01188
Opus 5.5	$0.00027	$0.00475
Sonnet 5.5	$0.00013	$0.00238
Haiku 4.5	$0.00007	$0.00119

Measured 2mo ago against content hash 5ddc791d502d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

jstar-reviewer 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 2mo 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.

.agent/skills/jstar-reviewer/SKILL.md · 230 lines

The source is not reproduced here

No licence file

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

agents/openai.yaml 269 B

Changes

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.

2mo ago First seen · 230 lines · 67 tokens per session scan A 5ddc791d502d

Subscribe to this mod's changes

jstar-reviewer is a skill published in the GitHub repository JStaRFilms/deprecated-Takomi_Code (3 stars, last pushed 22d ago), with no licence file. It adds 67 tokens to every session and 1,188 once invoked, about $0.0003 per session on Opus 5.5. 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.

C# and .NET Code review Security agent-orchestration ai-agents audit-logging codex-cli desktop-app

jstar-reviewer next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
jstar-reviewerJStaRFilms/deprecated-Takomi_Code	Skill	3	22d ago	none	A	67	Codex
refactoring-csharpCodeAlive-AI/ai-driven-development	Skill	167	yesterday	MIT	A	60	Claude Code
code-reviewerFerroxLabs/wayland	Skill	617	6d ago	AGPL-3.0	A	75	Claude Code, Codex
code-reviewblueberrycongee/termcanvas	Skill	418	5mo ago	MIT	A	50	Claude Code
dev-reviewalanshurafa/co-evolution	Skill	4	1mo ago	MIT	B	176	Claude Code
moltbookCES-Ltd/TitanX	Skill	49	6mo ago	Apache-2.0	A	22	Claude Code, Codex
morph-pptCES-Ltd/TitanX	Skill	49	6mo ago	Apache-2.0	A	14	Claude Code, Codex

deprecated-Takomi_Code: Skill for Codex