prism-entry-quality-analysis

prism-entry-quality-analysis is a skill for Codex from dragon1086/prism-insight. It costs 93 tokens per session (927 once invoked), scanned A, original, AGPL-3.0.

An analysis workflow for checking the quality of buy or entry signals in PRISM-INSIGHT using structured observability records. It uses a repeatable Evidence Packet process to examine triggers and readiness for live use.

In plain words
What is it for?
Use it to analyze buy-quality data, compare triggers, replay past signals, review trigger replacements, and assess whether a trigger is ready for SHADOW or LIVE operation.
Why use it?
It helps replace informal database queries with a consistent way to review whether entry signals are working better. It also supports decisions about testing, shadow operation, or live promotion.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to analyze buy-quality data, compare triggers, replay past signals, review trigger replacements, and assess whether a trigger is ready for SHADOW or LIVE operation.

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Install with agentmods
npx agentmods add skills/dragon1086/prism-insight/prism-entry-quality-analysis
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 dragon1086/prism-insight --skill prism-entry-quality-analysis
Clone the repo
git clone --depth 1 https://github.com/dragon1086/prism-insight

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 prism-entry-quality-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/dragon1086/prism-insight/prism-entry-quality-analysis/github.svg)](https://agentmods.dev/skills/dragon1086/prism-insight/prism-entry-quality-analysis)
Your own site
<a href="https://agentmods.dev/skills/dragon1086/prism-insight/prism-entry-quality-analysis"><img src="https://agentmods.dev/badge/skills/dragon1086/prism-insight/prism-entry-quality-analysis/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 prism-entry-quality-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/dragon1086/prism-insight/prism-entry-quality-analysis"><img src="https://agentmods.dev/badge/skills/dragon1086/prism-insight/prism-entry-quality-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 927 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 unknown 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 $0.00093 $0.00927
Opus 5 $0.00046 $0.00464
Sonnet 5 $0.00019 $0.00185
Haiku 4.5 $0.00009 $0.00093

Measured today against content hash 77f3a6675752, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

prism-entry-quality-analysis 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 today.

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.

skills/prism-entry-quality-analysis/SKILL.md · 92 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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.

  1. today Changed · +4 lines 77f3a6675752
  2. 10d ago First seen · 88 lines · 93 tokens per session scan A d4c500707768

Subscribe to this mod's changes

prism-entry-quality-analysis is a skill published in the GitHub repository dragon1086/prism-insight (740 stars, last pushed today), licensed AGPL-3.0. It adds 93 tokens to every session and 927 once invoked, about $0.0005 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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