Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkitnpx agentmods add commands/random6913/claude-code-superkit/seed-resetWrote 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/commands/random6913/claude-code-superkit/seed-reset)<a href="https://agentmods.dev/commands/random6913/claude-code-superkit/seed-reset"><img src="https://agentmods.dev/badge/commands/random6913/claude-code-superkit/seed-reset/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/commands/random6913/claude-code-superkit/seed-reset"><img src="https://agentmods.dev/badge/commands/random6913/claude-code-superkit/seed-reset.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 | $0.00010 | $0.00207 |
| Opus 5.5 | $0.00004 | $0.00083 |
| Sonnet 5.5 | $0.00002 | $0.00041 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
seed-reset 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 1mo 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
Seed Reset
Clear previous seed-live data and reinsert the deterministic demo dataset. Preserves existing admin users.
Steps
- Run the seed script:
bash .codex/skills/seed-reset/scripts/seed_reset.sh $ARGUMENTS
- Report the result.
Options
--clear— only clear seed data, don't reinsert
What Gets Seeded
- 3 onboarding users (PENDING): Anna, Mark, Lia
- 3 active users (APPROVED, plus): Dan, Mia, Ivan
- Telegram IDs: 9100001101–9100001203
- Swipes, likes, matches, reports, purchases, transactions
- Ads, ad events, ad revenue facts
- Support conversations, moderation items
- Daily metrics, admin user activity
$ARGUMENTS
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.
- 1mo ago First seen · 35 lines · 10 tokens per session scan A ed1002770333
seed-reset is a command published in the GitHub repository RaNDoM6913/claude-code-superkit (3 stars, last pushed 3d ago), licensed MIT. It adds 10 tokens to every session and 207 once invoked, about $0.0000 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 2026-09-03.
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