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/DDS-Solutions/AI-TadPole-OSnpx agentmods add skills/dds-solutions/ai-tadpole-os/batch-operationsWrote 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/dds-solutions/ai-tadpole-os/batch-operations)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/batch-operations"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/batch-operations/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/dds-solutions/ai-tadpole-os/batch-operations"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/batch-operations.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 | $0.00032 | $0.00833 |
| Opus 5.5 | $0.00013 | $0.00333 |
| Sonnet 5.5 | $0.00006 | $0.00167 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
batch-operations 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.
This is a copy
92% identical to batch-operations — 125 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / batch-operations
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Batch Operations — Multi-File Changes Protocol
Purpose: Apply consistent, verifiable changes across multiple files simultaneously with dry-run safety and rollback readiness. Workflow Binding: Used during
/refactorand/enhance.
🎯 Progressive Disclosure & L3 Reference Index
Read REQUIRED core standards below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide / Tool | Purpose | Trigger / When to Load |
|---|---|---|
references/batch_recipes_and_rollback.md |
Multi-file regex patterns, cross-platform batch recipes, and git rollback procedures | Designing bulk string/AST replacements |
scripts/batch_runner.py |
Deterministic batch runner tool with preview dry-run and --test suite |
Automated multi-file search and replace operations |
🔄 Batch Operation Protocol
1. PREVIEW (DRY RUN) ➔ Count matches and preview file list without modifying disk.
2. GIT SANITY CHECK ➔ Ensure working directory is clean (`git status`).
3. EXECUTE BATCH ➔ Apply replacement using batch_runner or atomic edits.
4. TEST & VERIFY ➔ Run test suite (`npm test` / `cargo test`) to ensure zero regressions.
🛡️ Socratic Gate: Multi-File Blast Radius
Before executing batch operations:
- Scope Specificity: Is the glob pattern sufficiently narrow to avoid matching build artifacts (
target/,node_modules/,dist/)? - Ambiguity Check: Could the pattern accidentally match unintended substrings or variable names?
- Rollback Plan: Is
git checkout -- .ready if unexpected side effects occur?
What ships with it
2 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 Changed · -36 lines 4be201bc4efa
- 2mo ago First seen · 112 lines · 32 tokens per session scan A ee9c88306464
batch-operations is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 833 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to batch-operations, differing in 125 lines, and is treated as a copy.
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