A tool for turning trading ideas into market evidence, defined signals, private replay tests, and optional published results. It does not place trades; a replay tests a strategy against market data.

Use it to gather market context, define signals, run private strategy replays, check replay status, and optionally publish results in Stingray Studio.

It gives trading-strategy work a defined process for checking ideas and reviewing results before sharing them or acting on them.

stingray — Skill for Claude Code and Codex by MantaDigital

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 MantaDigital/stingray-agent-skills --skill stingray

Clone the repo

git clone --depth 1 https://github.com/MantaDigital/stingray-agent-skills

Made for: Claude Code, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/mantadigital/stingray-agent-skills/stingray/github.svg)](https://agentmods.dev/skills/mantadigital/stingray-agent-skills/stingray)

Your own site

<a href="https://agentmods.dev/skills/mantadigital/stingray-agent-skills/stingray"><img src="https://agentmods.dev/badge/skills/mantadigital/stingray-agent-skills/stingray/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/mantadigital/stingray-agent-skills/stingray"><img src="https://agentmods.dev/badge/skills/mantadigital/stingray-agent-skills/stingray.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,601 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00061	$0.02601
Opus 5.5	$0.00024	$0.01040
Sonnet 5.5	$0.00012	$0.00520
Haiku 4.5	$0.00006	$0.00260

Measured 2mo ago against content hash 2f7b339603f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

stingray scanned grade B with 1 finding 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 2mo 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

> mkdir -p ~/.stingray && printf 'STINGRAY_PAT=<token>\n' > ~/.stingray/credentials && chmod 600 ~/.stingray/credentials

skills/stingray/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stingray

Stingray is a trading strategy builder. Use it when the user wants a coding agent to turn a trading idea into Stingray Studio Ideas, Evidence, Signals, private Replays, and opt-in Studio Publications. Generic coding agents can plan and orchestrate. Stingray handles the market context, product objects, and Replay processing.

Credentials

Check first, set up only if missing. Prefer STINGRAY_PAT from the environment if present:

if [ -n "$STINGRAY_PAT" ]; then
  echo "configured"
elif [ -f ~/.stingray/credentials ]; then
  source ~/.stingray/credentials 2>/dev/null
  echo "configured"
else
  echo "not configured"
fi

First-Time Setup

When not configured, send the user this short message: the secret stays in their terminal, not in the agent's context.

Welcome to Stingray. I do not see an API token on this machine yet.

Studio Skills API tokens are currently provisioned for the private-beta Skills API surface. Ask your Stingray contact for a token with the skills:full scope. It starts with sa_pat_. Then paste this into your terminal, replacing <token> with the value:
mkdir -p ~/.stingray && printf 'STINGRAY_PAT=<token>\n' > ~/.stingray/credentials && chmod 600 ~/.stingray/credentials
Once that is done, ask me to check Stingray again. I will confirm the connection and run one small Studio example.

Prefer env vars? Set STINGRAY_PAT=<token> in your shell config instead.

Do not accept the token via chat paste. If the user pastes it anyway, ask them to clear their chat scrollback and redo setup via the terminal command above. After the user confirms setup, rerun the credential check and continue with the original task.

Studio Skills API

Use the production Studio Skills API:

source ~/.stingray/credentials 2>/dev/null || true
export STINGRAY_API=https://stingray.fi/api/studio/v1

All product work goes through the action endpoint:

POST /skills/actions
Authorization: Bearer sa_pat_...
Content-Type: application/json

Read the full file on GitHub · 274 lines

Files

What ships with it

17 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.

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.

2mo ago First seen · 274 lines · 61 tokens per session scan B 2f7b339603f7

Subscribe to this mod's changes

stingray is a skill published in the GitHub repository MantaDigital/stingray-agent-skills (6 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 61 tokens to every session and 2,601 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics Claude Code Finance and fintech agent-skills backtesting codex cursor gemini-cli

stingray next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
stingrayMantaDigital/stingray-agent-skills	Skill	6	3mo ago	Apache-2.0	B	61	Claude Code, Codex
metronomefcakyon/claude-codex-settings	Skill	1.2k	yesterday	Apache-2.0	A	184	Claude Code
lov-skill-pricinglovstudio/skills	Skill	72	3d ago	MIT	A	78	Claude Code
lov-expense-reportlovstudio/skills	Skill	72	3d ago	MIT	A	127	Claude Code
ainb-fleet:coststevengonsalvez/agents-in-a-box	Skill	27	7d ago	MIT	A	120	Claude Code
quant-buddy-skillpseudo-longinus/quant-buddy-skills	Skill	201	2d ago	MIT	C	622	Claude Code, Codex
connect-required-verification-informationfcakyon/claude-codex-settings	Skill	1.2k	yesterday	Apache-2.0	A	80	Claude Code

stingray