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 agentmods add commands/emasoft/claude-plugins-validation/cpv-batch-caching-optimizegit clone --depth 1 https://github.com/Emasoft/claude-plugins-validationWhat 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 | $0.00121 | $0.01783 |
| Opus 5 | $0.00060 | $0.00892 |
| Sonnet 5 | $0.00024 | $0.00357 |
| Haiku 4.5 | $0.00012 | $0.00178 |
Grade A, and why
cpv-batch-caching-optimize 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cpv-batch-caching-optimize — Apply cache-invalidation fixes across many plugins
For users who maintain a marketplace and want to apply the
cache-invalidation pattern fixes (CA-01..CA-07) across every
plugin in one pass, this command fans out one cpv-cache-optimizer-agent
per plugin in batch_fix mode. Each agent runs Phase 1 (Audit)
→ Phase 2 (Fix) → Phase 3 (Re-validate) on its assigned plugin and
writes its result back as the per-plugin status JSON.
Phase 4 (Broader cache-aware refactor) is deliberately skipped
in batch mode: Phase 4 changes require interactive per-step
approval and that doesn't compose with a parallel dispatch
(each agent would block waiting for the orchestrator's permission).
Run the interactive cache flow from /cpv-main-menu (menu-tree §3.3.3
"Audit + broader refactoring") on a single plugin if you want Phase 4.
Same input grammar as the rest of the batch family.
You are the orchestrator
You — the model running THIS turn — drive the batch. You do NOT optimize anything yourself.
Step 0 — Resolve arguments
If no target was given, ask plain-text:
Which marketplace, plugin, or list should I cache-optimize? Provide a path, URL, or @listfile.
Step 1 — Build the batch plan
BATCH_SPEC="$1"
MAX_PARALLEL=8
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/cpv_batch_orchestrator.py" plan \
"$BATCH_SPEC" \
--agent cpv-cache-optimizer-agent \
--mode batch_fix \
--max-parallel "$MAX_PARALLEL"
Capture the orchestrator's stdout (PLAN, STATUS_TABLE,
SESSION_DIR, PLUGIN_COUNT, DISPATCH_GROUPS). Queue the
initial status table for the claude-menu-system Stop hook (emitted
post-turn via systemMessage — zero token cost, NEVER printed
inline by the orchestrator):
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/print_menu.py" "$STATUS_TABLE"
NEVER print menu inline; the CMS Stop hook emits via systemMessage at turn end.
Step 2 — Dispatch optimize agents in parallel
for plugin_index in group:
plugin = plan.plugins[plugin_index]
Agent(
subagent_type: "cpv-cache-optimizer-agent",
description: "Batch-cache-optimize {plugin.display_name}",
prompt: |
<context>
source: /cpv-batch-caching-optimize
mode: batch_fix
plugin_index: {plugin.plugin_index}
plugin_path: {plugin.abs_path}
source_url: {plugin.source_url or "—"}
display_name: {plugin.display_name}
session_dir: {plan.session_dir}
status_path: {plan.session_dir}/plugin-{plugin.plugin_index}.status.json
</context>
Run Phase 1 (Audit) → Phase 2 (Fix) → Phase 3 (Re-validate)
on your standard cache workflow. SKIP Phase 4 (Broader
refactor) — batch mode does not allow per-step user
prompts. Write per-plugin status JSON to `status_path` with:
{
"status_symbol": "✓" | "✗" | "⚠",
"status_label": "clean" | "fixed" | "partial" | "failed",
"before": {"critical": N, "major": N, "minor": N, "nit": N, "warning": N},
"after": {"critical": N, "major": N, "minor": N, "nit": N, "warning": N},
"report_path": "<abs-path-to-final-cache-report>",
"notes": "<short summary, e.g. fixed 5/5, 0 remaining>"
}
Return ONE line exactly:
[plugin-{plugin.plugin_index}] {label}: fixed=X remaining=Y (status: {status_path})
Do NOT render menus. Do NOT prompt the user for Phase 4 —
this is non-interactive batch mode.
run_in_background: false
)
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.
- 2d ago First seen · 182 lines · 121 tokens per session scan A 53996167b967
cpv-batch-caching-optimize is a command published in the GitHub repository Emasoft/claude-plugins-validation (4 stars, last pushed 4d ago), licensed MIT. It adds 121 tokens to every session and 1,783 once invoked, about $0.0006 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 2026-08-31.
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