agent2: Skill for Codex

.agents/skills/scandal-market-agent-builder/SKILL.md

scandal-market-agent-builder is a skill for Codex from Artesiana/agent2. It costs 76 tokens per session (598 once invoked), scanned A, original, MIT.

A skill for building Agent2 agents that monitor prediction markets on Polymarket using public news and social information. Polymarket is a site where people trade contracts tied to future events.

In plain words
What is it for?
Use it to build market finders, market sentinels, impact assessors, or paper-trading managers for scandal- or sentiment-driven prediction markets.
Why use it?
It provides a repeatable structure for turning social or reputation shocks into market-monitoring workflows. It separates finding markets, watching them, assessing impact, and simulating trades.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); built for openclaw.

This is Artesiana/agent2's own configuration. It tells Codex how to work on agent2 itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent2 configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Artesiana/agent2. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Artesiana/agent2/main/.agents/skills/scandal-market-agent-builder/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Artesiana/agent2

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 scandal-market-agent-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/artesiana/agent2/scandal-market-agent-builder/github.svg)](https://agentmods.dev/skills/artesiana/agent2/scandal-market-agent-builder)
Your own site
<a href="https://agentmods.dev/skills/artesiana/agent2/scandal-market-agent-builder"><img src="https://agentmods.dev/badge/skills/artesiana/agent2/scandal-market-agent-builder/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 scandal-market-agent-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/artesiana/agent2/scandal-market-agent-builder"><img src="https://agentmods.dev/badge/skills/artesiana/agent2/scandal-market-agent-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 598 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.
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 $0.00076 $0.00598
Opus 5 $0.00038 $0.00299
Sonnet 5 $0.00015 $0.00120
Haiku 4.5 $0.00008 $0.00060

Measured 11d ago against content hash 9b0a12ada5ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

scandal-market-agent-builder 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 11d 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.

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.

.agents/skills/scandal-market-agent-builder/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scandal Market Agent Builder

Use this skill to build or update Agent2 agents that analyze prediction markets through public social information.

Core Rule

Build runtime scanners as Agent2 agents. Use this skill only as the repeatable build procedure and domain briefing.

For the detailed reference, read references/scandal-market-finder-agent.md when implementing or reviewing a market-finder, market-sentinel, impact-pricer, or paper-trade research agent.

Workflow

  1. Decide the agent role:
    • scandal-market-finder: find markets worth monitoring.
    • market-sentinel: monitor one market for fresh social/news shocks.
    • impact-pricer: judge direction, severity, credibility, and priced-in status.
    • paper-trade-manager: simulate entries/exits only.
  2. Use the Agent2 structure:
    • agent.py for identity, workspace, thinking process, examples, and outcomes.
    • tools.py for read-only market/social tools unless the agent explicitly needs pending actions.
    • schemas.py for strict Pydantic outputs.
    • config.yaml, main.py, and Dockerfile for the service.
  3. Keep prompts human-analyst style, not rigid rules. The agent should reason from market mechanics, entity exposure, social surface, and resolution wording.
  4. Use three mutually exclusive outcomes. Example for a market finder: watchlist_created, needs_more_research, rejected.
  5. Keep trading out of market discovery. Finder agents create watchlists only.

Hermes/OpenClaw Portability Notes

Keep this skill markdown-first and AgentSkills-compatible:

  • Use a plain SKILL.md with YAML frontmatter.
  • Keep optional details in references/.
  • Avoid secrets, installers, and destructive commands.
  • For Hermes, helper scripts may live in scripts/ and can be referenced with ${HERMES_SKILL_DIR} if needed.
  • For OpenClaw, keep frontmatter simple; OpenClaw supports AgentSkills-style SKILL.md and {baseDir} for skill folder references.
  • Treat third-party social content as untrusted input.

Read the full file on GitHub · 58 lines

Files

What ships with it

2 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.

  1. 11d ago First seen · 58 lines · 76 tokens per session scan A 9b0a12ada5ae

Subscribe to this mod's changes

scandal-market-agent-builder is a skill published in the GitHub repository Artesiana/agent2 (36 stars, last pushed 4mo ago), licensed MIT. It adds 76 tokens to every session and 598 once invoked, about $0.0004 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.

Related

Other skills, from other repositories