Home / fmind / dot · skills/username-recon/SKILL.md · GitHub

username-recon skillA

username-recon is agent-read markdown (skill) from fmind/dot: Check public usernames with Sherlock; scope searches, verify matches, and preserve evidence..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Public Username Reconnaissance

Use `sherlock-project/sherlock`, distributed as `sherlock-project`, for public username checks within the requested scope.

Keep targets, techniques, time window, and stop conditions explicit. Reconnaissance does not authorize exploitation. Stop on scope escape or unexpected impact; another technique needs its own bounded procedure.

## Workflow

1. Establish the exact usernames, selected sites, purpose, and output destination from the request. Treat a username match as a lead, not proof of a person's identity.
1. Inspect `uvx --from 'sherlock-project==<version>' sherlock --help` and `--version`, resolving `<version>` to a reviewed exact release so a run never executes newly published code; use the installed help because published website examples may lag the CLI.
1. Run only the selected sites, with a bounded per-request timeout, in a private output directory. For one authorized username, adapt:
   ```bash
   uvx --from 'sherlock-project==<version>' sherlock <username> --site GitHub --timeout 10 --output results.txt
   ```
…

Read the whole file at its exact version.

How to install

Latest version
mdr add fmind/dot/username-recon@git:20260919.4491844
Exact content
mdr add fmind/dot/username-recon@sha256:21f82dd5913038d7

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6v2xmgdeelmg4hze.svg)](https://markdownregistry.com/a/art_6v2xmgdeelmg4hze)

0 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260919.4491844 latest2026-09-19 4491844 2,696 BA view · diff
git:20260916.50d68102026-09-16 50d6810 2,574 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2696 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

fmind/dot · 9 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6v2xmgdeelmg4hze
GET https://markdownregistry.com/api/v1/resolve?ref=fmind/dot/username-recon
GET https://markdownregistry.com/api/v1/blob/21f82dd5913038d7739f0de472727fb85d9e3b7cbf0744bed4b744b678dfc0ff

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

More from fmind/dot

chezmoi skill
fmind/dot · .agents/skills/chezmoi/SKILL.md · Manage chezmoi source names, templates, secrets, diffs, and deployment in fmind/dot.
git:20260920.d5fedf5 · audit A · 9 stars
dot-development skill
fmind/dot · .agents/skills/dot-development/SKILL.md · Develop fmind/dot CLI commands, session parsers, storage, configuration, and installation.
git:20260920.d5fedf5 · audit A · 9 stars
dot-release skill
fmind/dot · .agents/skills/dot-release/SKILL.md · Prepare, publish, recover, and verify fmind/dot releases through the repository task.
git:20260920.d5fedf5 · audit A · 9 stars
dot-skills skill
fmind/dot · .agents/skills/dot-skills/SKILL.md · Maintain fmind/dot skill packages, catalog budgets, routing contracts, and installed links.
git:20260920.d5fedf5 · audit A · 9 stars
dot-verify skill
fmind/dot · .agents/skills/dot-verify/SKILL.md · Qualify the fmind/dot working tree before a release: review changes, sync docs, run every gate, and smoke-test the dot…
git:20260924.4be3d0c · audit A · 9 stars
AGENTS.md agents
fmind/dot · AGENTS.md
git:20260920.d5fedf5 · audit A · 9 stars
CLAUDE.md claude
fmind/dot · CLAUDE.md
git:20260903.fa1d8bb · audit B · 9 stars
AGENTS.md@dot_agents agents
fmind/dot · dot_agents/AGENTS.md
git:20260920.d5fedf5 · audit A · 9 stars
acli skill
fmind/dot · skills/acli/SKILL.md · Search, plan, and update Atlassian Jira and Confluence with acli.
git:20260920.d5fedf5 · audit A · 9 stars
agent-evaluation skill
fmind/dot · skills/agent-evaluation/SKILL.md · Evaluate prompt, model, retrieval, and agent changes through repeated trials and outcome grading.
git:20260916.50d6810 · audit A · 9 stars
agent-frameworks skill
fmind/dot · skills/agent-frameworks/SKILL.md · Build Python agents with Google ADK, LangChain, LangGraph, and agents-cli: tools, state, and retrieval.
git:20260916.50d6810 · audit A · 9 stars
agent-harnesses skill
fmind/dot · skills/agent-harnesses/SKILL.md · Operate and configure Claude Code, Codex, Copilot, Grok, and OpenCode.
git:20260919.afe8ee0 · audit A · 9 stars

Every file in fmind/dot

Browse by kind, by grade A, or by owner.