signals

A command that lists reported statements about a stock ticker, with quotes, dates, speakers, and source links.

In plain words
What is it for?
Reviewing recent stock-related comments from transcripts and articles, grouped by their market direction and source quality.
Why use it?
It helps separate sourced statements from unsupported market rumors and shows whether each signal is positive, negative, or neutral.

Command

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.

agentmods
npx agentmods add commands/moshcoder/moshcode/signals
Clone the repo
git clone --depth 1 https://github.com/moshcoder/moshcode
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 267 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00015 $0.00267
Opus 5 $0.00008 $0.00133
Sonnet 5 $0.00003 $0.00053
Haiku 4.5 $0.00002 $0.00027

Measured yesterday against content hash 791c9056633f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

signals scanned grade A 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Bash(moshcode stocks:*), Bash(curl -sS https://advis0r.com/api/:*)
plugins/stocks/commands/signals.md · 31 lines

What it actually says

Task

List the extracted signals for $ARGUMENTS.

moshcode stocks signals $ARGUMENTS --json

Fallback: curl -sS "https://advis0r.com/api/signals?ticker=$ARGUMENTS"

Reading the response

Each signal carries signal_type, direction (positive/negative/neutral), strength, specificity, quote, event_date, speaker, speaker_title, source_url, and source_tier.

Rules

  • Group by direction and lead with the most recent. Note the positive/negative split.
  • Every claim keeps its source_url. These are extracted quotes from transcripts and articles — a signal repeated without its source is a rumor.
  • strength and specificity are the extractor's confidence, not the market's. A strong signal from a low source_tier is still a low-tier source; say so.
  • End with the response's own disclaimer.
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. yesterday First seen · 31 lines · 15 tokens per session scan A 791c9056633f

Subscribe to this mod's changes

signals is a command published in the GitHub repository moshcoder/moshcode (2 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 267 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.