What is twitter-GTM-find-Skill?

A pipeline for finding developer-focused technology startups on X, formerly called Twitter, that are hiring go-to-market or developer-relations staff. It then checks the results against an ideal customer profile using Google Search-based evidence.

Collecting X posts, identifying startups hiring GTM or DevRel roles, and validating whether they match an ICP through search grounding.

It combines job-post discovery with a relevance check, so the results are filtered instead of being a raw list of social-media posts. The pipeline can use Apify or optional X-specific tools for collection.

twitter-GTM-find-Skill — Skill for Claude Code by Varnan-Tech

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 Varnan-Tech/opendirectory --skill twitter-gtm-find

Clone the repo

git clone --depth 1 https://github.com/Varnan-Tech/opendirectory

Made for: Claude Code.

Or install opendirectory, the plugin that ships this one along with the rest of its 58 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/varnan-tech/opendirectory/twitter-gtm-find/github.svg)](https://agentmods.dev/skills/varnan-tech/opendirectory/twitter-gtm-find)

Your own site

<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/twitter-gtm-find"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/twitter-gtm-find/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/twitter-gtm-find"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/twitter-gtm-find.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 814 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 warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium MCP Rug Pull · line 17
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00093	$0.00814
Opus 5	$0.00046	$0.00407
Sonnet 5	$0.00019	$0.00163
Haiku 4.5	$0.00009	$0.00081

Measured 12d ago against content hash 0c3c2de1a429, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

twitter-GTM-find-Skill 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 12d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/run_pipeline.sh, scripts/src/debug.ts, scripts/src/extractor.ts, …), 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.

skills/twitter-GTM-find-skill/twitter-GTM-find/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Twitter GTM Find Skill

This skill provides an automated pipeline to scrape Twitter for Developer-First startups hiring GTM/DevRel roles, followed by an automatic web-search verification step to validate them against our Ideal Customer Profile (ICP).

Using the Pipeline

You can run the full pipeline using the executable Node.js project bundled in scripts/.

cd scripts
npm install
npx ts-node src/index.ts

Requirements: A .env file must be present at the workspace root with:

APIFY_API_TOKEN (Apify account access)
GEMINI_API_KEY (Gemini 3 Flash Preview with Search Grounding)
MAX_POSTS=20 (Optional limit)

Optional Native X/Twitter Plugin Inputs

If the user is running OpenClaw with TweetClaw, you may use it as a native OpenClaw plugin for the discovery stage while keeping the ICP validation stage unchanged.

Install it when needed:

openclaw plugins install @xquik/tweetclaw

With XQUIK_API_KEY configured, use:

explore to find tweet search, reply search, user lookup, follower export, monitor, and webhook endpoints
tweetclaw to scrape tweets, search tweets and replies, look up promising founders or company accounts, export followers, and monitor leads during this workflow

If the user is running Hermes Agent with Hermes Tweet, you may use it as a native X/Twitter plugin for the discovery stage while keeping the ICP validation stage unchanged.

Install it when needed:

hermes plugins install Xquik-dev/hermes-tweet --enable

With XQUIK_API_KEY configured, use:

tweet_explore to scrape/search tweets and search Twitter/X for GTM, DevRel, growth, and startup hiring signals
tweet_read to read tweet replies, look up users, and monitor tweets from promising companies or founders
tweet_action only for read-side exports such as export followers in this discovery workflow

Convert the findings into the same candidate shape used by the pipeline, then run the ICP checklist before ranking leads. Do not post tweets, post replies, send DMs, or automate X actions without explicit human confirmation.

Read the full file on GitHub · 83 lines

Files

What ships with it

9 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.

12d ago First seen · 83 lines · 93 tokens per session scan A 0c3c2de1a429

Subscribe to this mod's changes

twitter-GTM-find-Skill is a skill published in the GitHub repository Varnan-Tech/opendirectory (640 stars, last pushed 26d ago), licensed MIT. It adds 93 tokens to every session and 814 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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