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/andvl1/claude-plugin/vision-bootstrapnpx skills add AndVl1/claude-plugin --skill vision-bootstrapgit clone --depth 1 https://github.com/AndVl1/claude-pluginWrote 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/andvl1/claude-plugin/vision-bootstrap)<a href="https://agentmods.dev/skills/andvl1/claude-plugin/vision-bootstrap"><img src="https://agentmods.dev/badge/skills/andvl1/claude-plugin/vision-bootstrap.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 | $0.00074 | $0.00426 |
| Opus 5 | $0.00037 | $0.00213 |
| Sonnet 5 | $0.00015 | $0.00085 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
vision-bootstrap 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 · 43 lines · 74 tokens per session scan A 9f0846b77d5c
vision-bootstrap is a skill published in the GitHub repository AndVl1/claude-plugin (4 stars, last pushed 1mo ago), with no licence file. It adds 74 tokens to every session and 426 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
crewai
Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory systems, and flows for complex workflows. Essential for building collaborative…
optimization
Use when improving performance, latency, throughput, memory usage, or general efficiency. Start by defining target metrics, measuring comprehensively, attributing bottlenecks, validating with static analysis, and prioritizing macro-optimizations before micro-optimizations.
hivemind-graph
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems exist?", "what's the impact of…
mantis-threat-model
Synthesizes trust boundaries, attack surfaces, and attacker profiles into a living threat model. Use as Stage B of the Knowledge Base generation process, reading architecture and entity definitions from the KB. Don't use for analyzing source code or extracting raw learnings from JSONL files.
wiki_capture
The knowledge base stores durable, reusable business knowledge for an analytics assistant. Each page is a self-contained rule, definition, or convention that answers "how should this concept be handled in this organization?" - written once and reused across chats.
rules
The 50 rules of natural language programming. Loaded when writing, reviewing, or improving any NL artifact — skills, agents, commands, rules, hooks, prompts, plugins, and the project memory file (CLAUDE.md / AGENTS.md / GEMINI.md). The definitive style guide for NL code quality.