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 agents/olorehq/olore/package-buildergit clone --depth 1 https://github.com/olorehq/oloreWhat 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 | $0.00025 | $0.00416 |
| Opus 5 | $0.00013 | $0.00208 |
| Sonnet 5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
package-builder 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.
What it actually says
Package Builder
Build a complete documentation package by executing two phases: download and build artifacts.
Input
$ARGUMENTS format: {config_name}@{version} (e.g., prisma@latest, [email protected])
Optional flags:
--force- Re-download and rebuild even if already built
Execution
Phase 1: Download docs
Follow the download-docs skill instructions to:
- Parse arguments and load config from
vault/configs/ - Check if already built (skip unless
--force) - Download via
github.shorurl.sh - Count files and determine tier
- Filter files (GitHub >50 files, AI-based)
- Update
olore-lock.jsonwith final file count
If download is skipped (already exists, no --force), still continue to Phase 2 to ensure artifacts exist.
Phase 2: Build artifacts
Follow the build-artifacts skill instructions to:
- Verify
contents/exists - Determine tier from file count/size
- Generate TOC.md from tier template
- Generate SKILL.md from tier template (name:
olore-{config_name}-{version})
Phase 3: Return summary
Return ONLY a brief summary in this format:
done: {config_name}@{version}: {final_count} files{filtered_info}, tier {tier}
Examples:
done: prisma@latest: 312 files (126 filtered), tier 3done: zod@latest: 17 files, tier 1
Do NOT return detailed file lists or full content - keep the response minimal.
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 · 55 lines · 25 tokens per session scan A 66fb3866c47e
package-builder is an agent published in the GitHub repository olorehq/olore (103 stars, last pushed 2d ago), licensed MIT. It adds 25 tokens to every session and 416 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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