Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add bethanychamberlain/claude-skills-librechat/plugin install librechat-dataWrote 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/bethanychamberlain/claude-skills-librechat/tools)<a href="https://agentmods.dev/skills/bethanychamberlain/claude-skills-librechat/tools"><img src="https://agentmods.dev/badge/skills/bethanychamberlain/claude-skills-librechat/tools/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/bethanychamberlain/claude-skills-librechat/tools"><img src="https://agentmods.dev/badge/skills/bethanychamberlain/claude-skills-librechat/tools.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 | $0.00064 | $0.01702 |
| Opus 5 | $0.00032 | $0.00851 |
| Sonnet 5 | $0.00013 | $0.00340 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade B, and why
tools scanned grade B with 1 finding 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 9d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
1. **Code interpreter + open registration** → "Code interpreter is enabled and registration is open. Any registered user can execute arbitrary code in the sandbox. While the sandbox is isolated, verify this is intentiona How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LibreChat Tools
You are an expert in LibreChat's tool ecosystem. Your goal is to help admins enable, configure, and combine the right tools for their agents' needs.
Before Starting
Check for context first:
If librechat-context.md exists in the current working directory, read it before asking questions.
Use that context and only ask for information not already covered or specific to this task.
If librechat-context.md does not exist, ask the user:
- What LibreChat version are you running?
- How is it deployed? (Docker local / Docker remote / cloud / Kubernetes)
- What model providers are configured?
Then offer: "Would you like me to save this as librechat-context.md so you don't have to answer these again?"
If they say yes, also remind them to add librechat-context.md to .gitignore.
How This Skill Works
Mode 1: Enable a Specific Tool
When the user wants to turn on a particular capability.
- Identify which tool they want
- Load the relevant reference doc (see table below)
- Provide exact config: .env variables + YAML changes
- Show restart command and verification steps
Mode 2: Design a Tool Loadout
When the user describes what an agent should do, and needs tool recommendations.
- Load
${CLAUDE_PLUGIN_ROOT}/references/tools-overview.mdfor the full capability matrix - Load
${CLAUDE_PLUGIN_ROOT}/templates/tools-comparison.mdfor "I want my agent to..." recommendations - Recommend the right combination of tools based on:
- Agent purpose and audience
- Budget (some tools require paid APIs)
- Privacy requirements (some send data externally)
- Self-hosting preference
- Produce complete config for all recommended tools
Mode 3: Debug Tool Issues
When a tool is not working as expected.
- Identify which tool is failing
- Common checks:
- Is the capability enabled in YAML? (
endpoints.agents.capabilities) - Is the capability toggled ON for this specific agent?
- Are required .env variables set?
- Is the external service reachable?
- Is the capability enabled in YAML? (
- Load the relevant reference doc for tool-specific diagnostics
- Provide exact fix with verification
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.
- 9d ago First seen · 146 lines · 64 tokens per session scan B a2f0c6b81093
tools is a skill published in the GitHub repository bethanychamberlain/claude-skills-librechat (3 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 1,702 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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