unbroker

unbroker is a skill for Claude Code, Codex from GGbond-bo/MemOmics-Agent. It costs 15 tokens per session (6,298 once invoked), scanned A, a copy of unbroker, MIT.

A tool-assisted process for finding and removing a person's information from data-broker and people-search websites. Data brokers are companies that collect and publish personal details; the process requires the person's recorded consent.

In plain words
What is it for?
Use it to scan broker sites, submit removal requests where possible, track results, send related email, and provide human tasks when a site requires them.
Why use it?
It reduces exposure of names, addresses, phone numbers, email addresses, and relatives on participating sites. It does not remove public records or defeat CAPTCHA and other anti-bot checks.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for hermes-agent. Also seen: mentions subagents; built for hermes-agent.

Good fit Use it to scan broker sites, submit removal requests where possible, track results, send related email, and provide human tasks when a site requires them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ggbond-bo/memomics-agent/unbroker
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 GGbond-bo/MemOmics-Agent --skill unbroker
Clone the repo
git clone --depth 1 https://github.com/GGbond-bo/MemOmics-Agent

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.

agentmods badge for unbroker

README.md
[![agentmods](https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/unbroker/github.svg)](https://agentmods.dev/skills/ggbond-bo/memomics-agent/unbroker)
Your own site
<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/unbroker"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/unbroker/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 unbroker

Your own site · 80×15
<a href="https://agentmods.dev/skills/ggbond-bo/memomics-agent/unbroker"><img src="https://agentmods.dev/badge/skills/ggbond-bo/memomics-agent/unbroker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,298 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 98% copy Near-identical to another mod 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 $0.00015 $0.06298
Opus 5.5 $0.00006 $0.02519
Sonnet 5.5 $0.00003 $0.01260
Haiku 4.5 $0.00002 $0.00630

Measured yesterday against content hash 40ba675de968, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

unbroker 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 yesterday.

The scan reads SKILL.md. This mod also ships 19 executable files (scripts/autopilot.py, scripts/badbool.py, scripts/brokers.py, …), 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.

Origin

This is a copy

98% identical to unbroker — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

hermes-agent/optional-skills/security/unbroker/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

unbroker

Find where a person's personal information (name, addresses, phone, email, relatives) is exposed on data brokers and people-search sites, then remove it - automatically where possible, with guided human steps only where a site demands a CAPTCHA, government ID, phone call, or fax. Manages multiple people independently. It does not defeat anti-bot systems, does not act on anyone without recorded consent, and does not remove public records (voter/property/court) or accounts the person controls.

The Python CLI (scripts/pdd.py) owns the deterministic state - config, dossiers + consent, the broker database, tier planning, the ledger, drafts, reports, email sending (SMTP), verification-link polling (IMAP), and the autonomous action queue (next). You (the agent) do the scanning and form-driving with native tools: web_extract and browser_navigate for searching and web forms, and cronjob for recurring re-scans.

Autonomy contract

This skill is designed to run hands-off. After intake (+ recorded consent) there are exactly TWO legitimate human touchpoints: (1) the intake conversation itself, and (2) ONE consolidated human-task digest at the end of the run ($PDD tasks). Between those:

  • Never ask the operator to choose configuration. $PDD setup --auto detects capabilities and picks the most autonomous valid config itself.
  • Never pause before individual submissions when autonomy=full (the default): the consent recorded at intake is standing authorization for T0-T2 opt-outs. (autonomy=assisted restores per-submission confirmation for cautious operators - honor confirm_first flags in next output.)
  • Never interrupt the run for human-only work. Record it (record ... human_task_queued --reason "...") and keep going; it all surfaces once in the final digest.
  • Drive the whole run as a loop over $PDD next <subject> - it returns the exact ordered actions to take right now (scan, poll verification, re-check, opt out parents-first, requeue blocked), plus the human digest. Execute every action, record outcomes, re-run next, repeat until done_for_now. Then present the digest, report, and schedule the cron.

Read the full file on GitHub · 318 lines

Files

What ships with it

55 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. yesterday First seen · 318 lines · 15 tokens per session scan A 40ba675de968

Subscribe to this mod's changes

unbroker is a skill published in the GitHub repository GGbond-bo/MemOmics-Agent (30 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 6,298 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to unbroker, differing in 28 lines, and is treated as a copy.

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