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 berkcangumusisik/claude-code-practices --skill seed-datagit clone --depth 1 https://github.com/berkcangumusisik/claude-code-practicesWrote 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/berkcangumusisik/claude-code-practices/seed-data)<a href="https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/seed-data"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/seed-data/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/berkcangumusisik/claude-code-practices/seed-data"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/seed-data.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 | $0.00013 | $0.00275 |
| Opus 5 | $0.00006 | $0.00138 |
| Sonnet 5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
seed-data 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 6d 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
Generate Seed Data
Entity: $1 (or seed all entities if not specified)
- Check existing seeds:
ls prisma/seed* db/seeds/ seeds/ 2>/dev/null
cat prisma/seed.ts 2>/dev/null | head -50
- Read the schema to understand required fields:
cat prisma/schema.prisma 2>/dev/null | grep -A 20 "model $1"
-
Generate realistic seed data (not just "test1", "test2"):
- Use plausible names, emails, dates
- Create relationships correctly (FK constraints)
- Include edge cases: empty arrays, null optionals, long strings
-
Structure seeds with idempotency:
await db.upsert({
where: { email: '[email protected]' },
create: { ... },
update: {},
})
-
Add a
resetseed variant for CI (truncate + reseed). -
Document how to run:
bun run db:seedor equivalent.
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.
- 6d ago First seen · 42 lines · 13 tokens per session scan A 41e660a639ee
seed-data is a skill published in the GitHub repository berkcangumusisik/claude-code-practices (10 stars, last pushed 4mo ago), licensed MIT. It adds 13 tokens to every session and 275 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 2026-09-03.
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