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/bxmaximum/bitrix-framework-skills/bitrix-eventsnpx skills add bxmaximum/bitrix-framework-skills --skill bitrix-eventsgit clone --depth 1 https://github.com/bxmaximum/bitrix-framework-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/bxmaximum/bitrix-framework-skills/bitrix-events)<a href="https://agentmods.dev/skills/bxmaximum/bitrix-framework-skills/bitrix-events"><img src="https://agentmods.dev/badge/skills/bxmaximum/bitrix-framework-skills/bitrix-events.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 | $0.00107 | $0.01509 |
| Opus 5 | $0.00053 | $0.00754 |
| Sonnet 5 | $0.00021 | $0.00302 |
| Haiku 4.5 | $0.00011 | $0.00151 |
Grade A, and why
bitrix-events 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.
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.
- 3d ago First seen · 170 lines · 107 tokens per session scan A 3060daeae133
bitrix-events is a skill published in the GitHub repository bxmaximum/bitrix-framework-skills (29 stars, last pushed 9d ago), with no licence file. It adds 107 tokens to every session and 1,509 once invoked, about $0.0005 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.
Other skills, from other repositories
form-analyzer
Form field-level analysis — abandonment by field, validation errors, time-to-complete, and which fields cause users to leave. Use when investigating form performance, signup drop-off, or checkout form friction.
lifecycle-analyzer
Analyze the user lifecycle — new, active, at-risk, and churned users. Use when understanding user progression, identifying at-risk users, or measuring lifecycle conversion rates.
scroll-depth-analyzer
Analyze how far users scroll on key pages — content visibility, where users stop reading, and whether important content is being seen. Use when evaluating page layout, content effectiveness, or CTA placement.
session-playlist
Curate playlists of Fullstory sessions for team review — bundle related sessions with notes, timestamps, and context. Use when sharing session evidence with the team, preparing for a bug review, or creating a highlight reel of user behavior.
anomaly-detector
Proactive anomaly detection — scan metrics for statistical outliers, sudden changes, and unexpected patterns. Use when the user wants to know if something unusual happened, when a metric changed unexpectedly, or for automated health monitoring.
api-monitor
Monitor API call patterns from session data — endpoint latency, error rates, popular endpoints, and API-driven UX issues. Use when investigating backend performance impact on UX, API errors affecting users, or endpoint usage patterns.