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 instructions/langlink-localization/xliff-mcp-server/agents-mdgit clone --depth 1 https://github.com/langlink-localization/xliff-mcp-serverWrote 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/instructions/langlink-localization/xliff-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/langlink-localization/xliff-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/langlink-localization/xliff-mcp-server/agents-md.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 | $0.00320 | $0.00320 |
| Opus 5 | $0.00160 | $0.00160 |
| Sonnet 5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
xliff-mcp-server AGENTS.md 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 5d 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.
What it actually says
XLIFF MCP Server
Repository purpose
- Python MCP server for parsing, validating, exporting, and rewriting XLIFF/TMX content, with a separate agent-readable
skills/module.
Key entrypoints
xliff_mcp/owns MCP tools, prompts, resources, and runtime workflows;skills/owns standalone guidance.pyproject.toml,Dockerfile,docker-compose.yml, and.env.exampleare the package and runtime contracts.
Canonical commands
- Install development dependencies with
pip install -e '.[dev]'. - Run
ruff check .,python -m pytest -q, andpython -m compileall -q xliff_mcp tests. - Run
ruff formaton Python files you change; do not whole-tree reformat unless asked. - Validate container changes with
docker compose config.
Working rules
- Preserve inline tags, segment identity, language metadata, replacement counts, and declared CSV/JSON output contracts.
- Keep agent Skill guidance separate from MCP runtime registration; update both only when their shared behavior changes.
- Treat user-supplied localization files as potentially confidential; do not persist inputs, translated content, exports, or raw tool payloads.
- Do not add new MCP tools or change schemas without updating tests and README tool contracts.
Validation
- Add focused parser and round-trip tests for XLIFF/TMX behavior changes, including malformed input and tag preservation.
- Run MCP registration tests when tools, prompts, resources, or workflow mappings change.
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.
- 5d ago First seen · 25 lines · 320 tokens per session scan A 87d465c7e9c8
xliff-mcp-server AGENTS.md is an instructions file published in the GitHub repository langlink-localization/xliff-mcp-server (2 stars, last pushed 11d ago), licensed MIT. It adds 320 tokens to every session, about $0.0016 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.
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