qveris-finance-skills

qveris-finance-skills is a skill for Codex from QVerisAI/open-qveris-skills. It costs 56 tokens per session (2,546 once invoked), scanned A, original, MIT.

A workflow for producing evidence-based stock research factors, including sentiment, valuation inputs, earnings summaries, liquidity, and correlation. Correlation describes how closely two assets’ movements have matched.

In plain words
What is it for?
Use it to assess market sentiment, collect valuation data, recap earnings, examine trading liquidity, and compare asset-price relationships.
Why use it?
It organises several recurring research questions into consistent factors with source traces, so the analysis can be reviewed.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to assess market sentiment, collect valuation data, recap earnings, examine trading liquidity, and compare asset-price relationships.

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Install with agentmods
npx agentmods add skills/qverisai/open-qveris-skills/qveris-finance-skills
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-finance-skills
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-finance-skills

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

agentmods 80×15 button for qveris-finance-skills

Your own site · 80×15
<a href="https://agentmods.dev/skills/qverisai/open-qveris-skills/qveris-finance-skills"><img src="https://agentmods.dev/badge/skills/qverisai/open-qveris-skills/qveris-finance-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,546 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 $0.00056 $0.02546
Opus 5 $0.00028 $0.01273
Sonnet 5 $0.00011 $0.00509
Haiku 4.5 $0.00006 $0.00255

Measured 12d ago against content hash 951b166bbc3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

qveris-finance-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.

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-finance-skills/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QVeris Finance Skills

Use this skill to turn the Finance Skills candidate into standardized, trace-backed research factors: sentiment, valuation inputs, earnings recap, liquidity, and correlation. Preserve the factor framing; replace legacy data packages and third-party APIs with QVeris.

Source record:

Field Value
Candidate number 4
Original repository Finance Skills
GitHub URL https://github.com/himself65/finance-skills
License MIT
Evaluation recent activity 2026-06-14
Local source snapshot third_party/source_repos/04-finance-skills
Snapshot latest commit 87f688e on 2026-06-07

Runtime Contract

  • Use only qveris_finance.* CAP tools and QVERIS_API_KEY.
  • Resolve the security 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 each factor and expose stale or missing inputs.
  • 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 · 101 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 · 101 lines · 56 tokens per session scan A 951b166bbc3b

Subscribe to this mod's changes

qveris-finance-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 2,546 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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