fcs-reconcile

fcs-reconcile is a skill for Codex from cxtx/finance-copilot-skills. It costs 143 tokens per session (779 once invoked), scanned A, original, MIT.

A local, offline tool for comparing financial transaction records, such as bank statements and payment ledgers, and preparing differences for human review.

In plain words
What is it for?
Use it to reconcile bank statements with ledgers, receivables with collections, payables with payments, or transaction lists from two business systems. It reports matches, differences, and review results.
Why use it?
It finds mismatches while keeping original transaction details out of the AI model and leaving source files unchanged.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to reconcile bank statements with ledgers, receivables with collections, payables with payments, or transaction lists from two business systems. It reports matches, differences, and review results.

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Install with agentmods
npx agentmods add skills/cxtx/finance-copilot-skills/fcs-reconcile
Install

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.

Any agent
npx skills add cxtx/finance-copilot-skills --skill fcs-reconcile
Clone the repo
git clone --depth 1 https://github.com/cxtx/finance-copilot-skills

Made for: Codex.

Wrote 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.

agentmods badge for fcs-reconcile

README.md
[![agentmods](https://agentmods.dev/badge/skills/cxtx/finance-copilot-skills/fcs-reconcile/github.svg)](https://agentmods.dev/skills/cxtx/finance-copilot-skills/fcs-reconcile)
Your own site
<a href="https://agentmods.dev/skills/cxtx/finance-copilot-skills/fcs-reconcile"><img src="https://agentmods.dev/badge/skills/cxtx/finance-copilot-skills/fcs-reconcile/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.

agentmods 80×15 button for fcs-reconcile

Your own site · 80×15
<a href="https://agentmods.dev/skills/cxtx/finance-copilot-skills/fcs-reconcile"><img src="https://agentmods.dev/badge/skills/cxtx/finance-copilot-skills/fcs-reconcile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 779 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.00779
Opus 5 $0.00072 $0.00390
Sonnet 5 $0.00029 $0.00156
Haiku 4.5 $0.00014 $0.00078

Measured 10d ago against content hash cd4898ceb6b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

fcs-reconcile 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 10d ago.

The scan reads SKILL.md. This mod also ships 35 executable files (examples/gen_reconcile_demo.py, examples/gen_reconcile_result.py, scripts/classifier.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/fcs-reconcile/SKILL.md · 60 lines

What it actually says

fcs-reconcile(对账)

本 Skill 是工具集安全、输出与质量标准的参考实现。确定性对账引擎已实现(v0.3.0,发布状态 Preview)。

何时使用 / 不使用

  • 应触发:银行流水 vs 收付款台账对账;应收与回款核对;应付与付款核对;两个业务系统交易明细核对。
  • 不应触发:生成报表(→ 未来 fcs-report)、数据清洗(→ fcs-clean)、凭证过账、税务/会计政策结论、需联网登录外部系统的任务。

数据处理声明(运行前须向用户展示并确认)

运行模式:本地隔离
将读取:N 个本地文件 | 将写入:M 个结果文件
原始数据进入模型:否
网络访问:已禁用
源文件修改:否
终端输出交易明细:否
输入完整性:读取前后 SHA-256 校验

使用流程

  1. 用户选择左表(业务台账)与右表(银行流水/对方系统)。
  2. 运行前确认字段映射、匹配规则、容差、输出位置与隐私运行模式(见 docs/contracts/fcs-reconcile/input-contract.md)。
  3. 本地程序执行对账(scripts/reconcile.py)。
  4. AI 只接收汇总结果(匹配率、各状态计数、勾稽结论),原始明细留本地。
  5. 生成结果工作簿与运行清单,用户复核并保存。

核心约束(不可退让)

  • 只有候选唯一且规则完全满足时才自动确认(误判率 0,NFR-01)。
  • 容差只用于差异分级,不放宽自动确认(技术设计 §5.3)。
  • 金额一律 Decimal,不参与浮点运算。

关键规则与术语

运行

python scripts/reconcile.py --config <config.yaml>

配置字段(字段映射、match.primary_key / match.composite_keys / amount_tolerance / date_tolerance_days / direction_ruleoutput.path)见 docs/contracts/fcs-reconcile/input-contract.md

Files

What ships with it

58 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 10d ago First seen · 60 lines · 143 tokens per session scan A cd4898ceb6b8

Subscribe to this mod's changes

fcs-reconcile is a skill published in the GitHub repository cxtx/finance-copilot-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 143 tokens to every session and 779 once invoked, about $0.0007 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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