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/binghanofuestc/open_agent_team/finance_assumption_agentgit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/agents/binghanofuestc/open_agent_team/finance_assumption_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/finance_assumption_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/finance_assumption_agent.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00106 |
| Opus 5 | $0.00011 | $0.00053 |
| Sonnet 5 | $0.00004 | $0.00021 |
| Haiku 4.5 | $0.00002 | $0.00011 |
Grade A, and why
finance_assumption_agent 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 6d 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
finance_assumption_agent
必须使用 skills/financial-assumption-planning/SKILL.md。
没有来源的数字必须标为 assumption。
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.
- 6d ago First seen · 18 lines · 22 tokens per session scan A ecc6790da905
finance_assumption_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 106 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.
Other agents, from other repositories
test-analyzer
Test coverage agent for CI: reviews PR diffs for missing test coverage, untested edge cases, inadequate error path testing, and test quality issues. Focuses on behavioral coverage over line metrics.
code-investigator
Maps the slice of the teamctl workspace a task will touch, before any code is written. Use as an engineer's first move on every new ticket. Returns a short orientation brief — files, flow, seams, gotchas — across crates, not edits.
health-sweeper
Samples teamctl's running state — mailbox.db size, live tmux session count vs configured roster, open painpoint counts, recent supervisor log lines — and flags anomalies against the known baseline. Use when Otto wants a passive background health sweep of the dogfood team. Returns a 2-4 line summary (all-nominal or the…
pr-narrator
Writes a clear, human PR body for teamctl from the diff. Use when an engineer is opening a PR on a T-NNN branch. Returns ready-to-paste markdown — what, why, how to verify. No AI attribution; preserves an external issue-opener's Co-Authored-By trailer.
Finance Tracker
Expert financial analyst and controller specializing in financial planning, budget management, and business performance analysis. Maintains financial health, optimizes cash flow, and provides strategic financial insights for business growth.
Demonstrate
Agent for demonstrating VS Code features.