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 skills add manishiitg/coding-agent-loop --skill finance-operations-reviewgit clone --depth 1 https://github.com/manishiitg/coding-agent-loopWrote 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/manishiitg/coding-agent-loop/finance-operations-review)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/finance-operations-review"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/finance-operations-review/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/manishiitg/coding-agent-loop/finance-operations-review"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/finance-operations-review.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 | $0.00030 | $0.00753 |
| Opus 5.5 | $0.00012 | $0.00301 |
| Sonnet 5.5 | $0.00006 | $0.00151 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
finance-operations-review 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 20d 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finance Operations Review
Outcome
Coordinate Billing Operations Coordinator and Finance Analyst to review current billing exceptions and explain their finance impact. Add close or payables specialists only when a distinct owner or access boundary needs them.
When to use
Use for a small B2B subscription business that needs a repeated, owned finance review across Crews. For one Crew's weekly brief, use that Crew's schedule.
Discovery and user direction
Inspect existing Crews, selected skills, setup evidence, source access, current Automation, and policies. Propose a concrete team, handoff, first result, cost, and blockers. Selection is a proposal; save decisions in SETUP.json after verification.
Required inputs
Resolve entity, period, currency, timezone, billing and finance source of truth, named owner, invoice/refund/contact policies, metric definition, and approval boundaries. Authorized exports support the first route; live connectors are optional.
Plan and AgentWorks tools
Use two distinct ready Crews: billing-operations-coordinator produces billing-exception-queue/v1; finance-analyst receives only the validated queue and authorized source references and produces finance-impact-readout/v1. Reuse suitable Crews. After review, create missing ones with create_crew and stable idempotency keys; never pass their local skill names as global skill selections. Put the relevant contract fields and output path in each Crew step instruction so the Crew need not access the Workflow's installed Playbook files. Add blocking validator steps before consumers. Optional close/payables routes require their own artifact checks before activation.
Knowledge and persistence
Save source/account scope, metric and policy decisions, Crew IDs, artifact paths, validator results, run IDs, and stable case/action IDs. Re-read current provider state before repeating a case; deduplicate events and avoid a second customer contact for the same case.
Validation and reporting
What ships with it
8 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.
- examples/billing-exception-queue.json 1.2 KB
- examples/finance-impact-readout.json 1.1 KB
- examples/invalid-billing-exception-queue.json 898 B
- playbook.json 4.4 KB
- references/team-and-handoffs.md 2.8 KB
- scripts/test_validate_handoff.py 1.5 KB runs code
- scripts/validate_finance_artifact.py 7.8 KB runs code
- SETUP.json 2.8 KB
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.
- 20d ago First seen · 51 lines · 30 tokens per session scan A 7acf9225f08f
finance-operations-review is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 19d ago), licensed MIT. It adds 30 tokens to every session and 753 once invoked, about $0.0001 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 2026-09-27.
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