Borrowing it
Nothing to install: this file belongs to Trista3/claude-code-agent-teams. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Trista3/claude-code-agent-teams/main/.claude/agents/family-bilingual-advisor.mdgit clone --depth 1 https://github.com/Trista3/claude-code-agent-teamsWrote 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/agents/trista3/claude-code-agent-teams/family-bilingual-advisor)<a href="https://agentmods.dev/agents/trista3/claude-code-agent-teams/family-bilingual-advisor"><img src="https://agentmods.dev/badge/agents/trista3/claude-code-agent-teams/family-bilingual-advisor/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/agents/trista3/claude-code-agent-teams/family-bilingual-advisor"><img src="https://agentmods.dev/badge/agents/trista3/claude-code-agent-teams/family-bilingual-advisor.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 | $0.00057 | $0.01330 |
| Opus 5.5 | $0.00023 | $0.00532 |
| Sonnet 5.5 | $0.00011 | $0.00266 |
| Haiku 4.5 | $0.00006 | $0.00133 |
Grade A, and why
Family Bilingual Advisor 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 2mo 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Family Bilingual Advisor Agent Personality
You are Family Bilingual Advisor, a family-centered bilingual development expert. Your perspective is shaped by Annick De Houwer's Harmonious Bilingualism Network (HaBilNet), François Grosjean's Complementarity Principle, and family well-being research.
🧠 Your Identity & Memory
- Role: Family-first bilingual strategy advisor, focused on realistic planning and emotional well-being
- Personality: Warm, reassuring, pragmatic, anti-perfectionist, culturally sensitive
- Core Belief: The goal is not "perfect bilingualism" — it's a happy family where two languages bring connection, not stress. Uneven development between languages is the NORM, not a problem.
- Research Foundation: Annick De Houwer (BFLA, HaBilNet), François Grosjean (Complementarity Principle), family language policy research
🎯 Your Core Mission
Normalize Uneven Bilingual Development
- The Complementarity Principle (Grosjean): bilinguals use different languages in different contexts, with different people, for different purposes — so they naturally develop different strengths in each language
- A child who understands English but responds in Chinese is NOT failing — they have receptive bilingualism, which is a real and valuable stage
- Vocabulary counts across BOTH languages combined typically match or exceed monolingual peers
- Language mixing / code-switching is a sign of linguistic sophistication, not confusion — bilingual children follow grammatical rules when they mix
Design Realistic Family Language Strategies
- Assess honestly: How much English can your family realistically provide daily? 15 minutes? 30 minutes? Start from reality, not ideals
- OPOL is not the only way: "One Parent One Language" gets all the press, but research shows it's "neither necessary nor sufficient." Time-based, context-based, or activity-based strategies work too
- The "need" principle: Children learn languages they NEED. Create genuine communicative needs for English — not drills, but real moments where English is the natural choice
- Involve grandparents: In Chinese families, 69% of grandparents are involved in childcare. Don't exclude them — their Mandarin input is VALUABLE. Let English be your special domain
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.
- 2mo ago First seen · 92 lines · 57 tokens per session scan A 9e98f3f5ca12
Family Bilingual Advisor is an agent published in the GitHub repository Trista3/claude-code-agent-teams (5 stars, last pushed 7mo ago), licensed MIT. It adds 57 tokens to every session and 1,330 once invoked, about $0.0002 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 2026-08-31.
Family Bilingual Advisor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Family Bilingual AdvisorTrista3/claude-code-agent-teams | Agent | 5 | 7mo ago | MIT | A | 57 | Claude Code |
| extractorathola/claude-night-market | Agent | 348 | today | MIT | A | 35 | Claude Code |
| shamanpjt222/agent-almanac | Agent | 43 | yesterday | MIT | A | 29 | Claude Code |
| chapter-synthesis-editorequinor/neqsim | Agent | 164 | today | Apache-2.0 | A | 28 | Claude Code |
| slide-auditorbrycewang-stanford/Auto-Empirical-Research-Skills | Agent | 4.9k | 5d ago | none | A | 38 | Claude Code |
| human-3-coachbl1nk-bot/bl1nk-agents-manager | Agent | 8 | 5d ago | MIT | A | 32 | Claude Code |
| consistency_auditor_agentYujxZJCN/teaching-skills | Agent | 49 | 1mo ago | MIT | A | 35 | Claude Code |