qveris-anthropic-financial-services

qveris-anthropic-financial-services is a skill for Codex from QVerisAI/open-qveris-skills. It costs 67 tokens per session (2,827 once invoked), scanned A, original, MIT.

A finance-research workflow adapted for QVeris data, producing company earnings reviews, peer comparisons, valuation-model updates, and market-research memos.

In plain words
What is it for?
Use it to review earnings, compare companies, check assumptions in a discounted-cash-flow valuation, update models, and prepare market-research notes.
Why use it?
It replaces direct data sources with QVeris tools and requires evidence that can be traced back to the underlying finance data, without giving investment advice.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review earnings, compare companies, check assumptions in a discounted-cash-flow valuation, update models, and prepare market-research notes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qverisai/open-qveris-skills/qveris-anthropic-financial-services
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 QVerisAI/open-qveris-skills --skill qveris-anthropic-financial-services
Clone the repo
git clone --depth 1 https://github.com/QVerisAI/open-qveris-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 qveris-anthropic-financial-services

README.md
[![agentmods](https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/qveris-anthropic-financial-services/github.svg)](https://agentmods.dev/skills/qverisai/open-qveris-skills/qveris-anthropic-financial-services)
Your own site
<a href="https://agentmods.dev/skills/qverisai/open-qveris-skills/qveris-anthropic-financial-services"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/qveris-anthropic-financial-services/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 qveris-anthropic-financial-services

Your own site · 80×15
<a href="https://agentmods.dev/skills/qverisai/open-qveris-skills/qveris-anthropic-financial-services"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/qveris-anthropic-financial-services.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,827 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00067 $0.02827
Opus 5 $0.00034 $0.01413
Sonnet 5 $0.00013 $0.00565
Haiku 4.5 $0.00007 $0.00283

Measured 12d ago against content hash 09d9c66ee8d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

qveris-anthropic-financial-services 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.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/qveris_finance_adapter.mjs, scripts/qveris_finance_client.mjs, scripts/qveris_finance_tool.mjs, …), 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.

qveris-anthropic-financial-services/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QVeris Anthropic Financial Services

Use this skill to create institution-style equity research artifacts adapted from Anthropic Financial Services while replacing all source data access with QVeris finance CAP tools. Keep the original business shape: earnings analysis, comps, DCF/model updates, and market research memos.

Source record:

Field Value
Candidate number 1
Original repository Anthropic Financial Services
GitHub URL https://github.com/anthropics/financial-services
License Apache-2.0
Evaluation recent activity 2026-06-26
Local source snapshot third_party/source_repos/01-anthropic-financial-services
Snapshot latest commit 4aa51ed on 2026-06-26

Runtime Contract

  • Use only qveris_finance.* CAP tools for financial data.
  • Use only QVERIS_API_KEY; do not request, store, or infer third-party keys.
  • Resolve entities first with qveris_finance.ref_symbology, qveris_finance.ref_security_master, and qveris_finance.ref_company_profile.
  • Accept dry_run, max_calls, max_age, and budget_note; if omitted in a natural-language request, default to dry_run=false, no hard max_calls limit, max_age=P1D, and a conservative budget note, then echo those controls.
  • Use the shared retry policy at ../references/qveris-finance-retry-policy.md; retry transient 5xx/transport failures at most 2 times, do not blind-retry 404s, and hard reject semantic mismatches.
  • Include qveris_trace for every numeric claim, quote, event, and conclusion.
  • Report missing_fields; do not fill missing data as fact.
  • Treat QVeris _meta.source_provider as internal provenance only; never call, request credentials for, depend on, print, or copy it into sanitized trace.
  • Normalize trace provenance: qveris_trace[].tool_name and any human-readable trace labels must use only qveris_finance.* capability names. If QVeris returns vendor/provider IDs in _meta.source_provider or _meta.failover_log, drop those fields from sanitized trace and describe only the QVeris capability status, validation result, fallback, and missing fields.
  • In final user-facing output, do not name external providers even when explaining prohibited fallbacks; say "non-QVeris sources" or "external provider routes" instead.
  • 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, date window, fiscal period, and payload shape before using data; if a payload is stale, cross-period, truncated, or semantically mismatched, mark it in data_quality and missing_fields.

Read the full file on GitHub · 106 lines

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. 12d ago First seen · 106 lines · 67 tokens per session scan A 09d9c66ee8d1

Subscribe to this mod's changes

qveris-anthropic-financial-services is a skill published in the GitHub repository QVerisAI/open-qveris-skills (21 stars, last pushed 8d ago), licensed MIT. It adds 67 tokens to every session and 2,827 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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