Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mixpanel/ai-pluginsnpx agentmods add skills/mixpanel/ai-plugins/manage-feature-flagsWrote 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/mixpanel/ai-plugins/manage-feature-flags)<a href="https://agentmods.dev/skills/mixpanel/ai-plugins/manage-feature-flags"><img src="https://agentmods.dev/badge/skills/mixpanel/ai-plugins/manage-feature-flags.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 | $0.00225 | $0.03052 |
| Opus 5 | $0.00112 | $0.01526 |
| Sonnet 5 | $0.00045 | $0.00610 |
| Haiku 4.5 | $0.00022 | $0.00305 |
Grade A, and why
manage-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage Feature Flags
Engine required — resolve an engine per
ENGINE.md: one named in the conversation or loaded instructions is mandatory (not set up → offer/mixpanel:installfor it); otherwise use the Mixpanel MCP server, or offer/mixpanel:installif it's unavailable.
Coach the user through Mixpanel feature-flag work end-to-end: routing the request to the right flag-shaped product, ramping safely, killing fast when something goes wrong, and cleaning up when iteration is done.
The single most important idea: a flag's on/off state and its rollout percentage are different levers. The on/off state is the kill switch (instant). The rollout percentage is the throttle (gradient). Most flag bugs come from confusing the two; use the right lever for each step.
Requirements
- Access to Mixpanel (read, create, update, list, and archive feature flags).
- For experiment-backed flags, the ability to create and update experiments — see references/experiment-linked-flags.md.
When to use this skill
Trigger when the user asks anything about creating, configuring, ramping, killing, archiving, debugging, or cleaning up Mixpanel feature flags. Common phrasings:
- "Create a feature flag for
<feature>" - "Roll this out to 10% of users"
- "Kill the flag" / "turn it off"
- "Why doesn't anyone see my flag?" / "I bumped the rollout but nothing changed"
- "Why are there zero exposure events?"
- "Should this be a feature flag or an experiment?"
- "Archive all our stale flags" / "what's our flag debt?"
- "Roll back to 0%" / "restore an archived flag"
Do not trigger for experiment design ("how should I size this A/B test?", "what's my MDE?"), launch, mid-flight monitoring, or results interpretation ("should we ship this experiment?", "what does this SRM failure mean?") — all of those belong to the manage-experiment skill.
Glossary
- Feature Gate — an on/off toggle that serves one of two boolean variants per user. Kill switches, gradual rollouts, geo gates, internal-only enables. Control is the variant that means "feature off."
- Dynamic Config — a flag that serves a payload (string or structured object) per user without measurement. Copy variations, theme keys, configuration objects.
- Experiment — variant comparison with statistical machinery (primary metric, health checks, significance). Created via the experiment path; the backing flag is auto-created and linked.
- Kill switch — disabling an enabled flag to serve control to everyone, instantly, without losing the rollout configuration. Reversible.
- Ramp — bumping the rollout percentage upward through a staged cadence (typically
1% → 10% → 50% → 100%). - Sticky bucketing — a user assigned to a variant stays in that variant across sessions, keyed on a stable identity (by default
distinct_id). - Exposure event — the analytics event the SDK emits when a flag is evaluated via a tracking entry point. Used to confirm the rollout is serving variants in the proportions you configured.
- Archive — a terminal cleanup operation that hides the flag from default listings and stops SDK evaluation. Reversible via
restore, but destructive on a live flag — archiving a flag that still has live traffic strips its rollout state. - Restore — the un-archive verb. A restored flag lands back in the disabled state, never directly enabled.
- Experiment-linked flag — a flag whose lifecycle is owned by an experiment. Direct flag edits are accepted but get overwritten on the next experiment transition. Route changes through the experiment.
What ships with it
6 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.
- 6d ago First seen · 158 lines · 225 tokens per session scan A 700321b5d2e5
manage-feature-flags is a skill published in the GitHub repository mixpanel/ai-plugins (15 stars, last pushed 2d ago), licensed Apache-2.0. It adds 225 tokens to every session and 3,052 once invoked, about $0.0011 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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