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 QVerisAI/open-qveris-skills --skill qveris-financial-analyst-skillsgit clone --depth 1 https://github.com/QVerisAI/open-qveris-skillsWrote 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/qverisai/open-qveris-skills/qveris-financial-analyst-skills)<a href="https://agentmods.dev/skills/qverisai/open-qveris-skills/qveris-financial-analyst-skills"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/qveris-financial-analyst-skills/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/qverisai/open-qveris-skills/qveris-financial-analyst-skills"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/qveris-financial-analyst-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.00977 |
| Opus 5 | $0.00028 | $0.00489 |
| Sonnet 5 | $0.00011 | $0.00195 |
| Haiku 4.5 | $0.00006 | $0.00098 |
Grade A, and why
qveris-financial-analyst-skills 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 12d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QVeris Financial Analyst Skills
Use this skill for financial document extraction, calculations, modeling, and JSON generation adapted from Financial Analyst Skills. Prefer QVeris filings and structured fundamentals over local PDF/model pipelines; local user-provided documents are fallback inputs only.
Source record:
| Field | Value |
|---|---|
| Candidate number | 11 |
| Original repository | Financial Analyst Skills |
| GitHub URL | https://github.com/Ruinius/financial-analyst-skills |
| License | MIT |
| Evaluation recent activity | 2026-06-08 |
| Local source snapshot | third_party/source_repos/11-financial-analyst-skills |
| Snapshot latest commit | e886093 on 2026-06-08 |
Runtime Contract
- Use only
qveris_finance.*CAP tools andQVERIS_API_KEYfor default financial data. - Resolve company, ticker, CIK, and filing identity with QVeris reference and filing tools.
- Accept
dry_run,max_calls,max_age, andbudget_note; if omitted in a natural-language request, default todry_run=false,max_calls=12,max_age=P1D, and a conservative budget note, then echo those controls. - Include
qveris_tracefor every extracted field, calculation input, model assumption, and JSON node. - If a user supplies a local document, treat parsing as fallback, mark
fallback_used: true, and never upload or expose private content unless explicitly requested by the user. - Treat QVeris
_meta.source_provideras provenance only; never call, request credentials for, or depend on those internal providers directly. - Suppress
analyst_target_price,target_price, price-objective, upside, buy/sell, and recommendation fields even if a QVeris payload contains them. - Sanity-check entity, market, filing form, accession, fiscal period, and payload shape before using data; if a payload is stale, cross-period, metadata-only, truncated, or semantically mismatched, mark it in
data_qualityandmissing_fields.
Workflows
- Document classification/organization:
filings_regulatory_metadata,filings_regulatory_raw,filings_structured_xbrl. - Financial data extraction:
fundamentals_is,fundamentals_bs,fundamentals_cf,fundamentals_segment,filings_structured_xbrl. - Financial calculations:
fundamentals_derived_ratios,mkt_l1_rt,mkt_bars_adjusted. - Financial modeling/DCF inputs:
fundamentals_is,fundamentals_bs,fundamentals_cf,estimates_consensus,rates_govt_benchmark,fx_spot. - JSON model generator: emit trace-backed JSON; do not depend on local PDF extraction by default.
What ships with it
4 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.
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.
- 12d ago First seen · 60 lines · 56 tokens per session scan A 6f6e61eb0d90
qveris-financial-analyst-skills is a skill published in the GitHub repository QVerisAI/open-qveris-skills (21 stars, last pushed 8d ago), licensed MIT. It adds 56 tokens to every session and 977 once invoked, about $0.0003 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 2026-08-30.
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