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 bacnh85/pi-extensions --skill ponytail-gaingit clone --depth 1 https://github.com/bacnh85/pi-extensionsWrote 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/bacnh85/pi-extensions/ponytail-gain)<a href="https://agentmods.dev/skills/bacnh85/pi-extensions/ponytail-gain"><img src="https://agentmods.dev/badge/skills/bacnh85/pi-extensions/ponytail-gain/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/bacnh85/pi-extensions/ponytail-gain"><img src="https://agentmods.dev/badge/skills/bacnh85/pi-extensions/ponytail-gain.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 | $0.00085 | $0.00500 |
| Opus 5 | $0.00043 | $0.00250 |
| Sonnet 5 | $0.00017 | $0.00100 |
| Haiku 4.5 | $0.00009 | $0.00050 |
Grade A, and why
ponytail-gain 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 10d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 10d ago First seen · 51 lines · 85 tokens per session scan A 83891758bfb5
ponytail-gain is a skill published in the GitHub repository bacnh85/pi-extensions (16 stars, last pushed today), with no licence file. It adds 85 tokens to every session and 500 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
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Internal guidance for composing prompts that Pi runs (DeepSeek by default) handle reliably for coding, review, diagnosis, and research tasks.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
memory-compounding
Review and sharpen persistent memory so it compounds instead of accumulating. Use when pruning pi-hermes-memory entries, doing monthly memory hygiene, or when the same lesson has been recorded multiple times.
bearings
Generate a "pick up where I left off" status report across all active Pi sessions. Use when the user asks for bearings, a status report, morning brief, catch-up, "where did I leave off", or "what's in the works". Reads live session state, composes a scannable 4-section digest, and writes a dated report to…
setup-maintenance
Maintain and improve a Pi coding agent setup over time — prevent drift AND find new leverage. Use when auditing setup health, before adding a package/extension, before publishing, or when asked "is my setup healthy" / "audit my setup" / "how do I keep this sharp".
codebase-hygiene
Find semantic duplicates (same intent, different implementation) and shallow modules (thin wrappers spreading complexity). Read-only advisory — changes route through BUILD with full gates. Use when auditing code quality, before refactoring, or when a codebase feels bloated.