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/yujiachen-y/agent-bundle/quick-analysisgit clone --depth 1 https://github.com/yujiachen-y/agent-bundleWhat 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 | $0.00012 | $0.00126 |
| Opus 5 | $0.00006 | $0.00063 |
| Sonnet 5 | $0.00002 | $0.00025 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
quick-analysis 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 3d 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
Quick Financial Analysis
Perform a quick financial analysis based on the user's request: $ARGUMENTS
Steps
- Identify the type of analysis needed (variance, trend, comparison, etc.)
- Create a Python script in
/workspace/analysis.pythat performs the analysis - Run the script in the sandbox
- Format the results using the report-formatter skill guidelines
- Present findings with an executive summary, data table, and recommendations
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.
- 3d ago First seen · 18 lines · 12 tokens per session scan A 4e78ce1c6b46
quick-analysis is a command published in the GitHub repository yujiachen-y/agent-bundle (10 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 126 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 2026-08-31.
Other commands, from other repositories
earnings
财报解读 — 超预期检测 + 同比分析 + 投资逻辑影响.
audit-checklist
Perform an internal audit, review controls, or prepare for an external financial audit.
venture-debt
Evaluate or structure debt for high-growth, venture-backed startups.
payment-compare
Compare Medicare payment for a procedure across settings of care.
report
月次クロージングレポートの自動生成.
finops-status
Orientation — say where an opportunity or assignment sits in the five-step FinOps lifecycle and what unlocks next. Useful when a record has no active stage: an opportunity while its assignments do the work, an assignment whose plan has not been approved yet, or a rejected or archived assignment. Read-only; mutates…