skills-benchmarks is a test suite that measures how the design of skill documentation affects Claude Code's adherence to recommended coding patterns. It is used to compare documentation approaches across LangChain-related tasks and other agent workflows. Its catalogue entries represent skills, hooks, instructions, and a plugin used in the benchmark project.
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 langchain-ai/skills-benchmarks --skill database_migrationsgit clone --depth 1 https://github.com/langchain-ai/skills-benchmarksWrote 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/langchain-ai/skills-benchmarks/database_migrations)<a href="https://agentmods.dev/skills/langchain-ai/skills-benchmarks/database_migrations"><img src="https://agentmods.dev/badge/skills/langchain-ai/skills-benchmarks/database_migrations.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00011 | $0.00316 |
| Opus 5 | $0.00005 | $0.00158 |
| Sonnet 5 | $0.00002 | $0.00063 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
database-migrations 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.
What it actually says
Database Migration Patterns
Manage database schema changes safely and reliably.
Migration File Structure
migrations/
001_create_users.sql
002_add_email_index.sql
003_create_orders.sql
Writing Safe Migrations
Adding Columns
-- migrations/004_add_user_status.sql
-- Up
ALTER TABLE users ADD COLUMN status VARCHAR(20) DEFAULT 'active';
CREATE INDEX idx_users_status ON users(status);
-- Down
DROP INDEX idx_users_status;
ALTER TABLE users DROP COLUMN status;
Creating Tables
-- migrations/005_create_audit_log.sql
-- Up
CREATE TABLE audit_log (
id SERIAL PRIMARY KEY,
table_name VARCHAR(100) NOT NULL,
record_id INTEGER NOT NULL,
action VARCHAR(20) NOT NULL,
changed_by INTEGER REFERENCES users(id),
changed_at TIMESTAMP DEFAULT NOW(),
old_values JSONB,
new_values JSONB
);
CREATE INDEX idx_audit_log_table ON audit_log(table_name, record_id);
CREATE INDEX idx_audit_log_time ON audit_log(changed_at);
-- Down
DROP TABLE audit_log;
Best Practices
- Always include rollback (down) migrations
- Never modify existing migrations - create new ones
- Test migrations on a copy of production data
- Use transactions for atomic changes
- Add indexes concurrently in production:
CREATE INDEX CONCURRENTLY
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 · 64 lines · 11 tokens per session scan A 0e0e24effd8e
database-migrations is a skill published in the GitHub repository langchain-ai/skills-benchmarks (116 stars, last pushed 20d ago), licensed MIT. It adds 11 tokens to every session and 316 once invoked, about $0.0001 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 2026-08-30.
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