RedisInsight: Skill for Claude Code

.ai/skills/feature-flags/SKILL.md

feature-flags is a skill for Claude Code, Codex from redis/RedisInsight. It costs 56 tokens per session (1,507 once invoked), scanned A, original, no licence file.

A guide for adding, changing, and removing feature flags. Feature flags are switches that let a team enable or hide a feature without changing the rest of the application.

In plain words
What is it for?
Use it when adding a flag, promoting a development flag, cleaning up an old flag, or changing how a feature is gated.
Why use it?
It helps manage temporary development switches and safely move features from development use to normal use or remove old switches.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

This is redis/RedisInsight's own configuration. It tells Claude Code and Codex how to work on RedisInsight itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything RedisInsight configures →

Reuse

Borrowing it

Nothing to install: this file belongs to redis/RedisInsight. 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/redis/RedisInsight/main/.ai/skills/feature-flags/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/redis/RedisInsight

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 feature-flags

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/redis/redisinsight/feature-flags"><img src="https://agentmods.dev/badge/skills/redis/redisinsight/feature-flags.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,507 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 medium

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 →

  • medium Rogue Agent · line 36
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.01507
Opus 5.5 $0.00022 $0.00603
Sonnet 5.5 $0.00011 $0.00301
Haiku 4.5 $0.00006 $0.00151

Measured 1mo ago against content hash e4201db554a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-flags 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 1mo 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.

.ai/skills/feature-flags/SKILL.md · 184 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it 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. 1mo ago First seen · 184 lines · 56 tokens per session scan A e4201db554a9

Subscribe to this mod's changes

feature-flags is a skill published in the GitHub repository redis/RedisInsight (8,926 stars, last pushed 3d ago), with no licence file. It adds 56 tokens to every session and 1,507 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 2026-09-04.

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