Borrowing it
Nothing to install: this file belongs to mmnto-ai/totem. 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/mmnto-ai/totem/main/.claude/skills/prepush/SKILL.mdgit clone --depth 1 https://github.com/mmnto-ai/totemWrote 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/mmnto-ai/totem/prepush)<a href="https://agentmods.dev/skills/mmnto-ai/totem/prepush"><img src="https://agentmods.dev/badge/skills/mmnto-ai/totem/prepush.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 5.1 | $0.00019 | $0.00226 |
| Opus 5 | $0.00010 | $0.00113 |
| Sonnet 5 | $0.00004 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
prepush 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
Before pushing code:
- Run
pnpm run format— fix any formatting issues - Run
pnpm exec totem lint— the deterministic enforcement floor (zero LLM). Fix any violations before proceeding; the pre-push hook enforces this in every tier. - Run
pnpm exec totem review— supplementary AI lanes over the diff (advisory sensors, not a merge gate). Address critical findings; known limits are disclosed in the run output (LLM window truncation on large diffs; non-code files skipped). Note: in strict/agent hook tiers the pre-push hook also runs this command as a push gate — the advisory framing is about what counts as the review of record, not about whether the hook runs it.
After all checks pass, proceed with git push. The review command stamps .reviewed-content-hash automatically on PASS.
If any step fails, fix the issue and re-run from step 1.
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 · 15 lines · 19 tokens per session scan A 14181eeda8e9
prepush is a skill published in the GitHub repository mmnto-ai/totem (17 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 226 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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