people-enrichment SKILL.md skillA

people-enrichment from moonlight-lupin/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add moonlight-lupin/agent-skills/people-enrichment@v1.0.1

Pins v1.0.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
moonlight-lupin/agent-skills
Path
research/people-enrichment/SKILL.md
Versions recorded
3
Latest version
v1.0.1, committed Oct 5, 2026
First version recorded
Jul 8, 2026
Size
9,321 bytes
Repository stars
119
License
MIT

Use when the user has a list of names or companies and wants their job, employer, work history, LinkedIn URLs or company profiles looked up, or wants to find people or companies matching criteria — trigger on phrases like "enrich these contacts", "find their LinkedIn", "look up these people", "who works at X", "find directors at Y", "enrich these companies", or "get firmographics for". Enrich and search People Data Labs (PDL) Person and Company data, writing results to .xlsx. Five operations…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# People Enrichment & Search (People Data Labs)

One script, `scripts/enrich.py`, with five subcommands over PDL's Person and Company datasets. All share the same API-key handling, the boolean-PII contact logic, status flags, `.xlsx` styling, and a `--dry-run` preflight mode.

| Subcommand | Input | Output | Billing |
| --- | --- | --- | --- |
| `person-enrich` | list of named people | profile + work history | 1 credit / match |
| `person-identify` | list of people (ambiguous) | several scored candidates each | per PDL identify terms |
| `person-search` | criteria flags | a list of matching people | 1 credit / record returned |
| `company-enrich` | list of companies | firmographics | 1 credit / match |
| `company-search` | criteria flags | a list of matching companies | 1 credit / record returned |

The two *search* commands return data per *result*, so cost scales with `--size`. Always state the rough cost before a large search and keep `--size` modest unless the user asks for more (max 100 per request).

## Scope and routing
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add moonlight-lupin/agent-skills/people-enrichment@sha256:6d23fc9d1ecac85e

The line at the top of this page pins the label v1.0.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_s3lmjg45jf3lyn36.svg)](https://markdownregistry.com/a/art_s3lmjg45jf3lyn36)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 8, 2026 and Oct 5, 2026, about one every 44 days.

versioncommittedcommitsizeaudit
v1.0.1 latest2026-10-05 a776a92 9,321 BA view · diff
v1.0.12026-08-13 090474f 9,330 BA view · diff
v1.0.12026-07-08 52f1cb9 9,314 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (9321 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

moonlight-lupin/agent-skills · 119 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_s3lmjg45jf3lyn36
GET https://markdownregistry.com/api/v1/resolve?ref=moonlight-lupin/agent-skills/people-enrichment
GET https://markdownregistry.com/api/v1/blob/6d23fc9d1ecac85e7eeb1bb22dd62387396b151444ff9b064dfe50ee2b842ca9

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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