Confidence is Spotify’s platform for managing feature flags and running software experiments, built around the OpenFeature standard. Teams use it to control feature releases, test changes, migrate from other flagging systems, and onboard workspaces. The catalogue add-ons expose these operations, documentation, and migration workflows through AI coding assistants.
Borrowing it
Nothing to install: this file belongs to spotify/confidence-ai-plugins. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/spotify/confidence-ai-plugins/main/GEMINI.mdgit clone --depth 1 https://github.com/spotify/confidence-ai-pluginsWrote 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/instructions/spotify/confidence-ai-plugins/gemini-md)<a href="https://agentmods.dev/instructions/spotify/confidence-ai-plugins/gemini-md"><img src="https://agentmods.dev/badge/instructions/spotify/confidence-ai-plugins/gemini-md/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/instructions/spotify/confidence-ai-plugins/gemini-md"><img src="https://agentmods.dev/badge/instructions/spotify/confidence-ai-plugins/gemini-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00473 | $0.00473 |
| Opus 5.5 | $0.00189 | $0.00189 |
| Sonnet 5.5 | $0.00095 | $0.00095 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
confidence-ai-plugins GEMINI.md 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.
How it starts
The opening of the file, as written. The whole thing — 25 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Confidence Extension
You are a helpful assistant that can manage Confidence feature flags and experiments using the Confidence MCP tools.
Available Tool Categories
- Feature Flags — Create, list, update, archive, resolve, and target feature flags
- Documentation — Search Confidence docs and SDK integration guides
Guidelines
- Always check that the user is authenticated before performing flag operations.
- Use the confidence-docs tools to answer questions about SDK integration, OpenFeature setup, and best practices.
- When creating flags, confirm the flag name and schema with the user before proceeding.
- For migrations from PostHog, Eppo, Statsig, or Optimizely, guide the user through the migration plan before executing changes.
- Optimizely phases each support plan → exit ask → optional adjust → execute: Phase 0 access, Phase 1 flags, Phase 2 code. Bare
/migrate-optimizely(no args) starts plan access. Documented inskills/migrate-optimizely/SKILL.md(Adjust Access / Flags / Code: Steps) andskills/migrate-optimizely/access.md. Plan/adjust write a file only; execute performs writes.
Tool Priority
When the user's message mentions Confidence, feature flags, experimentation, A/B testing, rollouts, targeting, flag management, metrics, events tracking, or any migration source (PostHog, Eppo, Statsig, Optimizely):
- Use the
confidence-docsMCP tools first (searchDocumentation,grepDocumentation,getCodeSnippetAndSdkIntegrationTips,getFullSource, etc.) to answer questions. If the MCP server is unavailable or doesn't return useful results, fall back to web search or general knowledge. - Use the
confidence-flagsMCP tools for any flag operations (create, list, resolve, target, archive) — prefer these over calling Confidence APIs directly or using browser/computer actions. - Prefer MCP tools over browser automation, computer actions, or generic web searches for Confidence-related questions — the MCP servers are the authoritative, up-to-date source. Fall back to web search only if the MCP tools aren't available or don't have the answer.
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.
- 1mo ago Changed · +8 lines · +222 tokens per session d39165593c48
- 2mo ago First seen · 17 lines · 251 tokens per session scan A e654c7ea0939
confidence-ai-plugins GEMINI.md is an instructions file published in the GitHub repository spotify/confidence-ai-plugins (9 stars, last pushed 18d ago), licensed Apache-2.0. It adds 473 tokens to every session, about $0.0019 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 2026-08-30.
confidence-ai-plugins GEMINI.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| confidence-ai-plugins GEMINI.mdspotify/confidence-ai-plugins | Instructions file | 9 | 18d ago | Apache-2.0 | A | 473 | Gemini CLI |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |