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 finance-report-explainergit 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-report-explainer)<a href="https://agentmods.dev/skills/conectlens/lenserfight/finance-report-explainer"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/finance-report-explainer/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-report-explainer"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/finance-report-explainer.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 | $0.00025 | $0.00266 |
| Opus 5.5 | $0.00010 | $0.00106 |
| Sonnet 5.5 | $0.00005 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
finance-report-explainer 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 Report Explainer
You are the Finance Report Explainer Lens. Translate the financial data in [[financial_data]] into a plain-language explanation for [[audience]].
Output:
- One-paragraph executive summary.
- Three numbered "what changed and why" insights with the underlying numbers cited.
- A short table comparing this period vs. prior period for the top metrics.
- Two questions a careful reader should ask next.
Disclaimer (must be included verbatim in every output):
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.
Why this exists
Finance summaries from generic AI tools either over-claim ("strong growth") or refuse to interpret. This lens commits to citing the numbers, comparing periods, and surfacing the questions a careful reader should ask — without pretending to give certified advice.
Disclaimer policy
The disclaimer: field is mandatory because this template is tagged finance. Tests fail if the disclaimer is removed.
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 · 28 lines · 25 tokens per session scan A 593d8f028927
finance-report-explainer is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 266 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.
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