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 TransluceAI/claude-code-plugins --skill behaviorsgit clone --depth 1 https://github.com/TransluceAI/claude-code-pluginsWrote 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/transluceai/claude-code-plugins/behaviors)<a href="https://agentmods.dev/skills/transluceai/claude-code-plugins/behaviors"><img src="https://agentmods.dev/badge/skills/transluceai/claude-code-plugins/behaviors/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/transluceai/claude-code-plugins/behaviors"><img src="https://agentmods.dev/badge/skills/transluceai/claude-code-plugins/behaviors.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 | $0.00074 | $0.00635 |
| Opus 5.5 | $0.00030 | $0.00254 |
| Sonnet 5.5 | $0.00015 | $0.00127 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
behaviors 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 8d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
behaviors
behaviors is a Python library for calling language models from fxtr experiments: provider adapters, conversation sessions, context policies that play users and tools, retries and failure recording, and conversation records stored as fxtr entities. Use these pieces when they fit the experiment, rather than building another chat loop or transcript format.
The pages below are its documentation. Read the ones a task needs before writing code.
Where to read
| Task | Read |
|---|---|
| Add behaviors to a project; hold a conversation, judge outputs, and summarize verdicts in fxtr steps; test without credentials | Calling language models |
| Pick a provider, an adapter, and an exact model ID | Choosing models |
| Script users, offer tools, or write a custom conversation flow | Policies and tools |
Rollout statuses and max_turns, failures, retries, streaming |
Rollout outcomes and retries |
| Messages and content, stored records, transcripts, conversations in the viewer, checkpoints | Conversation records and checkpoints |
| Run Docent readings, or convert records for Docent | Docent readings |
| Choose a layer; imports, adapters, sampling settings, requests and responses | API overview |
| Steps, workflows, arrays, launching jobs, and the step cache | the adjacent fxtr skill |
What ships with it
10 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.
- provenance.json 323 B
- references/guides/choosing-models.mdx 5.0 KB
- references/guides/conversation-records.mdx 4.4 KB
- references/guides/docent-readings.mdx 2.6 KB
- references/guides/language-models.mdx 14 KB
- references/guides/policies-and-tools.mdx 4.5 KB
- references/guides/rollout-outcomes.mdx 4.4 KB
- references/INDEX.md 1.6 KB
- references/index.mdx 2.0 KB
- references/reference/api.mdx 8.7 KB
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.
- 8d ago First seen · 39 lines · 74 tokens per session scan A f67c5f363f93
behaviors is a skill published in the GitHub repository TransluceAI/claude-code-plugins (7 stars, last pushed 6d ago), licensed Apache-2.0. It adds 74 tokens to every session and 635 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-06.
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