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 PostHog/posthog-foss --skill finding-experimentsgit clone --depth 1 https://github.com/PostHog/posthog-fossWrote 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/posthog/posthog-foss/finding-experiments)<a href="https://agentmods.dev/skills/posthog/posthog-foss/finding-experiments"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/finding-experiments/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/posthog/posthog-foss/finding-experiments"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/finding-experiments.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 | $0.00150 | $0.00602 |
| Opus 5 | $0.00075 | $0.00301 |
| Sonnet 5 | $0.00030 | $0.00120 |
| Haiku 4.5 | $0.00015 | $0.00060 |
Grade A, and why
finding-experiments 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:
- finding-experiments — 88% identical, 0 lines differ
What it actually says
Finding experiments
Users refer to experiments by name, description, or relative references — not by ID. This skill resolves natural language references to concrete experiment IDs.
How to find an experiment
Use the experiment-list tool from the Posthog-local MCP server.
IMPORTANT: Do NOT use feature-flag-get-all or any feature flag tool to find
experiments. Use the dedicated experiment list tool: experiment-list.
This tool returns experiments with their id, name, status, feature_flag_key, start_date, end_date, and created_at. Browse the returned list to find the experiment matching the user's reference:
- By name: scan the
namefield for matches - By recency: results are ordered newest first by default
- By status: match the
statusfield (draft, running, paused, exposure_frozen, stopped) - By flag key: match the
feature_flag_keyfield
After finding matches
- Exactly one match: Use it. Confirm with the user by name before destructive actions (delete, ship, end).
- Multiple matches: List them with name, status, and creation date. Ask the user to pick.
- No matches: Tell the user. Suggest checking archived experiments or different terms.
Get full details if needed
After resolving to an ID, call experiment-get for the full object (metrics, flag details, parameters).
Examples
User: "pause my signup experiment"
Agent:
1. Calls experiment-list
2. Scans results, finds "New signup process" (ID: 1371, status: running)
3. Proceeds to pause experiment 1371
When NOT to search
- You already have the experiment ID from earlier in the conversation
- The user just created the experiment — you have the ID from the create response
- The user provided the ID directly
Related skills
managing-experiment-lifecycle— act on the experiment once you've resolved its IDdiagnosing-experiment-results— investigate the experiment you found
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 · 58 lines · 150 tokens per session scan A be97975946d4
finding-experiments is a skill published in the GitHub repository PostHog/posthog-foss (715 stars, last pushed today), licensed MIT. It adds 150 tokens to every session and 602 once invoked, about $0.0007 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 2026-09-03.
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