radar

radar is a skill for Claude Code, Codex from simota/agent-skills. It costs 42 tokens per session (5,360 once invoked), scanned A, original, MIT.

A testing aid focused on reliability and coverage. It adds tests for unusual cases, repairs flaky tests that fail unpredictably, and supports JavaScript or TypeScript, Python, Go, Rust, and Java.

In plain words
What is it for?
Use it to fill test gaps, stabilise unreliable tests, and improve coverage around existing code.
Why use it?
It helps expose untested edge cases and protect against regressions without changing the product's behaviour.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to fill test gaps, stabilise unreliable tests, and improve coverage around existing code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/simota/agent-skills/radar
Install

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.

Any agent
npx skills add simota/agent-skills --skill radar
Clone the repo
git clone --depth 1 https://github.com/simota/agent-skills

Made for: Claude Code, 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.

agentmods badge for radar

README.md
[![agentmods](https://agentmods.dev/badge/skills/simota/agent-skills/radar/github.svg)](https://agentmods.dev/skills/simota/agent-skills/radar)
Your own site
<a href="https://agentmods.dev/skills/simota/agent-skills/radar"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/radar/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.

agentmods 80×15 button for radar

Your own site · 80×15
<a href="https://agentmods.dev/skills/simota/agent-skills/radar"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/radar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,360 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 6
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
Origin original 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.05360
Opus 5.5 $0.00017 $0.02144
Sonnet 5.5 $0.00008 $0.01072
Haiku 4.5 $0.00004 $0.00536

Measured 9d ago against content hash a192543e1a8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

radar 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 9d 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.

radar/SKILL.md · 296 lines

How it starts

The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

  1. 9d ago Changed a192543e1a8c
  2. 11d ago Changed f156dd2ae14e
  3. 14d ago Changed 5bd59846ad43
  4. 1mo ago Changed · -2 lines b1c8f896ccea
  5. 1mo ago Changed · -7 lines bddd4dd0a6b9
  6. 1mo ago First seen · 305 lines · 42 tokens per session scan A 6ee745972713

Subscribe to this mod's changes

radar is a skill published in the GitHub repository simota/agent-skills (95 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 5,360 once invoked, about $0.0002 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 2026-09-03.

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