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 auditing-experiments-flagsgit 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/auditing-experiments-flags)<a href="https://agentmods.dev/skills/posthog/posthog-foss/auditing-experiments-flags"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/auditing-experiments-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/posthog/posthog-foss/auditing-experiments-flags"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/auditing-experiments-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 | $0.00057 | $0.00846 |
| Opus 5 | $0.00028 | $0.00423 |
| Sonnet 5 | $0.00011 | $0.00169 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
auditing-experiments-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 4d 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:
- auditing-experiments-flags — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditing experiments and feature flags
This skill teaches you how to run configuration audits on experiments and feature flags.
All checks use the experiment and feature flag read tools (experiment-get, experiment-list, feature-flag-get-definition, feature-flag-get-all) — no SQL queries are needed for Phase 1 checks.
Usage modes
Quick check (single entity)
When the user asks about a specific experiment or flag:
- Fetch the entity via
experiment-get(experiment ID) orfeature-flag-get-definition(numeric flag ID). - Apply the relevant checks from experiment checks or flag checks.
- Report findings inline as markdown, grouped by severity (CRITICAL first, then WARNING, then INFO).
- Include entity links as
[Experiment: name](/experiments/id)or[Flag: key](/feature_flags/id).
Scoped audit (one domain)
When the user asks to audit all experiments or all flags:
- Bulk-fetch via
experiment-listorfeature-flag-get-all. - Run all checks for that domain against each entity.
- Group findings by severity, then by entity.
- Report as inline markdown.
Full audit (comprehensive)
When the user asks for a comprehensive audit of both experiments and flags:
- Fetch all experiments via
experiment-listand all flags viafeature-flag-get-all. - Run all experiment checks and all flag checks.
- Apply recurring patterns to identify patterns across multiple findings.
- If there are more than 5 entities with findings, write them to a notebook for easier navigation. Otherwise report inline. Create the notebook from the project's own notebook tools. Run
search notebooks?-to load them and read the titles.
Output format
For each finding, include:
- Severity badge:
🔴 CRITICAL,🟡 WARNING, or🔵 INFO - Check name: Which check produced this finding
- Entity link: Markdown link to the entity
- What's wrong: One-sentence description
- Action: What to do about it (see remediation actions)
What ships with it
5 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.
- 4d ago Changed b4dac329840e
- 9d ago First seen · 81 lines · 57 tokens per session scan A 3388f5728216
auditing-experiments-flags is a skill published in the GitHub repository PostHog/posthog-foss (715 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 846 once invoked, about $0.0003 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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