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 instructions/spotify/confidence-ai-plugins/gemini-mdgit clone --depth 1 https://github.com/spotify/confidence-ai-pluginsWhat 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 | $0.00251 | $0.00251 |
| Opus 5 | $0.00125 | $0.00125 |
| Sonnet 5 | $0.00050 | $0.00050 |
| Haiku 4.5 | $0.00025 | $0.00025 |
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 2d 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
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.
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.
- 2d 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 (8 stars, last pushed today), licensed Apache-2.0. It adds 251 tokens to every session, about $0.0013 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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