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 skills add spencerpauly/awesome-cursor-skills --skill adding-feature-flagsgit clone --depth 1 https://github.com/spencerpauly/awesome-cursor-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/spencerpauly/awesome-cursor-skills/adding-feature-flags)<a href="https://agentmods.dev/skills/spencerpauly/awesome-cursor-skills/adding-feature-flags"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/adding-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.
<a href="https://agentmods.dev/skills/spencerpauly/awesome-cursor-skills/adding-feature-flags"><img src="https://agentmods.dev/badge/skills/spencerpauly/awesome-cursor-skills/adding-feature-flags.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00553 |
| Opus 5 | $0.00019 | $0.00277 |
| Sonnet 5 | $0.00008 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
adding-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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- adding-feature-flags — 91% identical, 2 lines differ
What it actually says
Add Feature Flags
Use this skill when the user asks to add feature flags, feature toggles, gradual rollouts, or A/B testing.
Option A: PostHog Feature Flags (Recommended)
-
Install PostHog if not already present:
npm install posthog-js -
Use feature flags in code:
import { useFeatureFlagEnabled } from "posthog-js/react"; function MyComponent() { const showNewFeature = useFeatureFlagEnabled("new-checkout-flow"); if (showNewFeature) return <NewCheckout />; return <OldCheckout />; } -
Server-side evaluation — for server components or API routes:
import { PostHog } from "posthog-node"; const posthog = new PostHog(process.env.POSTHOG_API_KEY!); const isEnabled = await posthog.isFeatureEnabled("new-checkout-flow", userId); -
Create flags in the PostHog dashboard — set up targeting rules based on user properties, percentage rollouts, or cohorts.
Option B: Simple Local Feature Flags
For projects that don't need a third-party service:
-
Create a flags config —
lib/feature-flags.ts:export const FLAGS = { NEW_CHECKOUT: process.env.NEXT_PUBLIC_FF_NEW_CHECKOUT === "true", DARK_MODE: process.env.NEXT_PUBLIC_FF_DARK_MODE === "true", } as const; -
Use in components:
import { FLAGS } from "@/lib/feature-flags"; function App() { return FLAGS.NEW_CHECKOUT ? <NewCheckout /> : <OldCheckout />; } -
Add env vars — add flags to
.envand.env.example:NEXT_PUBLIC_FF_NEW_CHECKOUT=false NEXT_PUBLIC_FF_DARK_MODE=true
Notes
- Use feature flags for all user-facing changes during rollout, not just experiments.
- Clean up stale flags — remove the flag and the old code path once a feature is fully rolled out.
- For server-side flags, cache the evaluation result to avoid per-request API calls.
- Name flags descriptively:
new-checkout-flownotflag-1.
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.
- 9d ago First seen · 77 lines · 38 tokens per session scan A fe3fcfed9763
adding-feature-flags is a skill published in the GitHub repository spencerpauly/awesome-cursor-skills (765 stars, last pushed 1mo ago), licensed CC0-1.0. It adds 38 tokens to every session and 553 once invoked, about $0.0002 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.
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