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 skills/posthog/skills/feature-flags-pythonnpx skills add PostHog/skills --skill feature-flags-pythongit clone --depth 1 https://github.com/PostHog/skillsWrote 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/skills/feature-flags-python)<a href="https://agentmods.dev/skills/posthog/skills/feature-flags-python"><img src="https://agentmods.dev/badge/skills/posthog/skills/feature-flags-python.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 | $0.00013 | $0.00535 |
| Opus 5 | $0.00006 | $0.00267 |
| Sonnet 5 | $0.00003 | $0.00107 |
| Haiku 4.5 | $0.00001 | $0.00053 |
Grade A, and why
feature-flags-python 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 3d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PostHog feature flags for Python
This skill helps you add PostHog feature flags to Python applications.
Reference files
references/python.md- Python feature flags installation - docsreferences/adding-feature-flag-code.md- Adding feature flag code - docsreferences/best-practices.md- Feature flag best practices - docs
Consult the documentation for API details and framework-specific patterns.
Key principles
- Environment variables: Always use environment variables for PostHog keys. Never hardcode them.
- Minimal changes: Add feature flag code alongside existing logic. Don't replace or restructure existing code.
- Boolean flags first: Default to boolean flag checks unless the user specifically asks for multivariate flags.
- Server-side when possible: Prefer server-side flag evaluation to avoid UI flicker.
PostHog MCP tools
Check if a PostHog MCP server is connected. If available, look for tools related to feature flag management (creating, listing, updating, deleting flags). Use these tools to manage flags directly in PostHog rather than requiring the user to do it manually in the dashboard.
Framework guidelines
- Remember that source code is available in the venv/site-packages directory
- posthog is the Python SDK package name
- Install dependencies with
pip install posthogorpip install -r requirements.txtand do NOT use unquoted version specifiers like>=directly in shell commands - In CLIs and scripts: MUST call posthog.shutdown() before exit or all events are lost
- Always use the Posthog() class constructor (instance-based API) instead of module-level posthog.api_key config
- Always include enable_exception_autocapture=True in the Posthog() constructor to automatically track exceptions
- NEVER send PII in capture() event properties — no emails, full names, phone numbers, physical addresses, IP addresses, or user-generated content
- PII belongs in identify() person properties, NOT in capture() event properties. Safe event properties are metadata like message_length, form_type, boolean flags.
- Register posthog_client.shutdown with atexit.register() to ensure all events are flushed on exit
- The Python SDK has NO identify() method — use posthog_client.set(distinct_id=user_id, properties={...}) to set person properties, or use identify_context(user_id) within a context
What ships with it
3 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.
- 3d ago First seen · 44 lines · 13 tokens per session scan A e5fd51e1a15a
feature-flags-python is a skill published in the GitHub repository PostHog/skills (60 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 535 once invoked, about $0.0001 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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