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 skills/codebygarv/ai-skills/feature-flag-lifecycle-managernpx skills add codebygarv/Ai-skills --skill feature-flag-lifecycle-managergit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/skills/codebygarv/ai-skills/feature-flag-lifecycle-manager)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/feature-flag-lifecycle-manager"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/feature-flag-lifecycle-manager.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00400 |
| Opus 5 | $0.00014 | $0.00200 |
| Sonnet 5 | $0.00006 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
feature-flag-lifecycle-manager 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.
What it actually says
Purpose
Manage feature flags from creation to deprecation, establishing standardized flag taxonomy, safe fallback defaults, phased rollout rings (canary/percentage/user groups), and automated dead-code cleanup to prevent technical debt accumulation.
When to Use
- Introducing feature flag tooling (LaunchDarkly, Unleash, PostHog, custom Redis flags).
- Codebases clogged with hundreds of ancient, permanent boolean flags.
- Releasing risky changes using percentage rollouts and progressive ring deployments.
What to Analyze
- Flag Taxonomy & Lifetime: Release Toggle (short-lived, days) vs Experiment Toggle (weeks) vs Kill Switch (permanent) vs Permission Toggle.
- Safe Fallback Defaults: Guaranteed fail-safe default value if the flag service is unreachable.
- Rollout Rings: Ring 0 (Internal Canary / Dogfood) $ ightarrow$ Ring 1 (5% Beta) $ ightarrow$ Ring 2 (25%) $ ightarrow$ Ring 3 (100% GA).
- Observability & Blast Radius: Metric dashboards linked to flag states (auto-rollback on elevated 5xx errors).
- Retirement & Dead Code Removal: Automated Jira/GitHub cleanup tickets created upon 100% rollout.
Output Format
- Feature Flag Specification Sheet: Name, Type, Owner, Fallback Value, Expiration Date, Rollout Schedule.
- Type-Safe Wrapper Code: TypeScript / backend typed flag client with fallback safety.
- Cleanup PR Plan: Instructions to remove flag checks once fully deployed.
Avoid
- Leaving release toggles in production code months after 100% rollout (creates spaghetti debt).
- Making synchronous network calls to flag servers on critical database write paths.
What ships with it
2 files 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.
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 · 34 lines · 28 tokens per session scan A e16bdd75ff43
feature-flag-lifecycle-manager is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 16d ago), licensed MIT. It adds 28 tokens to every session and 400 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
bun-api
Bun runtime API reference for TypeScript scripts. Covers Bun.serve() HTTP/HTTP/2 server with routes and WebSockets, fetch() transport options, Bun.file(), Bun.write(), Bun.$() shell, Bun.spawn(), Bun.Glob, Bun.env, bun:sqlite, Bun.sql() for PostgreSQL/MySQL via DATABASEURL, Bun.s3 for S3-compatible storage, Bun.redis…
bun-cli
Bun CLI reference for package management, script running, testing, bundling, and compilation. Covers bun install/add/remove/update, bun run, bun test, bun build, bunx, bun patch, bun audit fix, bun dedupe, bun prune, bun why, bun pm, bun repl, bunfig.toml, bun.lock, workspace catalogs, isolated installs and the global…
git-pr
PR and MR workflows for GitHub (gh) and GitLab (glab). Creation, review comment handling, thread resolution, review state queries, merging, cost-aware bot review rounds (GitHub: Copilot, CodeRabbit), and Copilot code review configuration (rulesets, custom instructions, billing). Use when creating PRs/MRs, addressing…
deps-upgrade
Validate JavaScript/TypeScript dependency upgrades after an interactive or manual update. Establish the real delta from git, detect peer/engine/type conflicts, extract breaking changes, migrations and adoptable features from release notes, assess held-back or seemingly unused packages, and run verification gates.…
git-project
GitHub Projects (v2) setup and management via gh CLI + GraphQL: organize a repo's issues into epics with native sub-issues, drive a board Status flow (Todo -> In Progress -> Done), set Project Priority, classify with native issue Types (Task/Bug/Feature) instead of labels, scope work with milestones (incl. resolving…
git-ci
CI/CD status queries for GitHub Actions (gh) and GitLab CI (glab). Check pipeline status, failing jobs, workflow runs, job logs, and merge readiness. Use when checking CI status, debugging build failures, viewing job logs, watching pipeline progress, or configuring gh/glab CI read-only allowlists. Not for PR workflows…