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 conectlens/lenserfight --skill financegit clone --depth 1 https://github.com/conectlens/lenserfightWrote 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/conectlens/lenserfight/finance)<a href="https://agentmods.dev/skills/conectlens/lenserfight/finance"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/finance/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/conectlens/lenserfight/finance"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/finance.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 | $0.00014 | $0.00191 |
| Opus 5.5 | $0.00006 | $0.00076 |
| Sonnet 5.5 | $0.00003 | $0.00038 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
finance 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 1mo 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
Templates that analyse financial data — reports, summaries, comparisons.
Safety rules
Every template under the #finance ray MUST carry the finance disclaimer in its prompt body and in the rendered output. The disclaimer language:
This explanation is an analysis aid only and is NOT certified financial advice, audit work, investment recommendation, or tax guidance. Verify all figures against source records and consult a qualified professional before acting on this material.
A pgTAP test fails if a finance-rayed lens's template_body does not contain the disclaimer marker.
Public lenses
finance-report-explainerexcel-formula-assistant— when financial data lives in spreadsheets
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.
- 1mo ago First seen · 22 lines · 14 tokens per session scan A d605816a38a4
finance is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 191 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 2026-09-03.
Other skills, from other repositories
potpie-resource-spreadsheet
Use when the user asks to ingest a spreadsheet or CSV (cost report, inventory, tracker, export) into Potpie so agents can search and cite it. Teaches the extraction-script flow: one section per sheet, header-repeated row chunks, potpie resource import, summaries that carry the key figures, and — critically — deriving…
meter-invoice
Generate CocoMeter chargeback invoices. Usage: $meter invoice.
pn-financial-model-audit
Audit a financial model (spreadsheet, structured table, or agent-produced model) for hardcoded values, broken formula logic, balance-sheet balance, circular references, and missing cross-checks. Use after any DCF, LBO, comps, or 3-statement model is built before it is used in a deliverable.
comps-analysis
Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection.
lbo-model
Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch.
excel-author
Build auditable Excel workbooks headless with openpyxl — blue/black/green cell conventions, formulas over hardcodes, named ranges, balance checks, sensitivity tables. Use for financial models, audit outputs, reconciliations.