Borrowing it
Nothing to install: this file belongs to sophonfinance-wq/finance-automation-portfolio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sophonfinance-wq/finance-automation-portfolio/main/.claude/skills/close/SKILL.mdgit clone --depth 1 https://github.com/sophonfinance-wq/finance-automation-portfolioWrote 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/sophonfinance-wq/finance-automation-portfolio/close)<a href="https://agentmods.dev/skills/sophonfinance-wq/finance-automation-portfolio/close"><img src="https://agentmods.dev/badge/skills/sophonfinance-wq/finance-automation-portfolio/close/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/sophonfinance-wq/finance-automation-portfolio/close"><img src="https://agentmods.dev/badge/skills/sophonfinance-wq/finance-automation-portfolio/close.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 | $0.00052 | $0.00407 |
| Opus 5.5 | $0.00021 | $0.00163 |
| Sonnet 5.5 | $0.00010 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
close 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 2mo 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
Month-End Close Engine
Package close_engine in monthly-close-automation/. All data fictional, seeded (default seed 2026). Integer-cent math.
Commands (run from monthly-close-automation/)
python -m close_engine --period 2026-03 --out ./output # full close; exit != 0 if not clean
python -m close_engine --demo-guardrails # inject 12 faults, prove all 10 controls (C1-C10) catch them
python -m close_engine.loop --demo --out output # AUTONOMOUS LOOP: resync drift from sub-ledger, quarantine C10 tamper
python -m pytest -q # 15,687 tests
Loop verdicts (close_engine/loop.py)
AUTO-POSTED (0) / AUTO-POSTED (PARTIAL) (0, something quarantined) / HALTED (1).
Boundary of autonomy: C10 locked-period tamper -> QUARANTINE (held, never overwritten); C1 broken opening TB -> HALT (never fabricated).
Key files
close_engine/engine.py— 7 recurring-entry classes, refuses out-of-tie postsclose_engine/sentinel/— controls C1-C10, shadow recompute, findingsclose_engine/faults.py— 12 seeded fault injectors (the drift vocabulary)close_engine/loop.py+loop_report.py— autonomous loop + Markdown/HTML reports
Windows consoles: set PYTHONIOENCODING=utf-8 if emoji banners crash.
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.
- 2mo ago First seen · 28 lines · 52 tokens per session scan A 52b4917d4c1f
close is a skill published in the GitHub repository sophonfinance-wq/finance-automation-portfolio (16 stars, last pushed 27d ago), licensed MIT. It adds 52 tokens to every session and 407 once invoked, about $0.0002 per session on Opus 5.5. 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.
close compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| closesophonfinance-wq/finance-automation-portfolio | Skill | 16 | 27d ago | MIT | A | 52 | Claude Code |
| monthly-close-processgokulb20/crewm8-cfo-skills | Skill | 2 | 6mo ago | MIT | A | 67 | Claude Code, Codex |
| accounting-audit-system-buildersickn33/agentic-awesome-skills | Skill | 49k | 2d ago | MIT | A | 41 | Claude Code |
| vnpy-exportHKUDS/Vibe-Trading | Skill | 38k | today | MIT | A | 40 | Claude Code, Codex |
| connect-recommendstripe/ai | Skill | 2.0k | today | MIT | A | 151 | Claude Code, Codex |
| billing-stripevstorm-co/full-stack-ai-agent-template | Skill | 2.0k | yesterday | MIT | A | 56 | Claude Code |
| miniqmt-to-bigqmtlitaolemo/xtquant_big_convert | Skill | 811 | 11d ago | MIT | A | 144 | Claude Code, Codex |