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 xyva-yuangui/XyvaClaw --skill batchgit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote 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/xyva-yuangui/xyvaclaw/batch)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/batch"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/batch/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/xyva-yuangui/xyvaclaw/batch"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/batch.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 | $0.00016 | $0.00335 |
| Opus 5 | $0.00008 | $0.00168 |
| Sonnet 5 | $0.00003 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
Batch 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 12d 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 Starting
- Dry run: Test with 2-3 items first
- Count: "Processing 47 items, ~2 min estimated"
- Confirm destructive ops: "This will delete 200 files. Proceed?"
During Processing
- Progress every 10 items: "23/47 complete (49%)"
- Checkpoint every 10-50 items: Save state to resume if interrupted
- On error: Log it, continue with rest (don't abort entire batch)
After Completion
Always report:
✅ 44 succeeded
❌ 3 failed (saved to failed.json for retry)
Error Handling
| Error | Action |
|---|---|
| Timeout, rate limit | Retry 3x with backoff (1s, 2s, 4s) |
| Bad format, missing data | Skip, log, continue |
| Auth failed, disk full | Abort entire batch |
Check strategies.md for parallel vs sequential decision matrix.
Check errors.md for retry logic and rollback patterns.
Related: For delegating to sub-agents, see delegate.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 47 lines · 16 tokens per session scan A f1e376463668
Batch is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 335 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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