Linkedin Post Experimentation

What it does

When your agent uses it

• Comparing LinkedIn hooks
• Posting cadence
• Content performance data

Example prompts

• “/linkedin-post-experimentation”

Requirements

• Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Turn a content idea into a hypothesis about audience, topic, format, or
2. 2Choose one variable to test.
3. 3Define metrics before publishing: impressions, engagements, comments, saves,
4. 4Publish, respond to comments, and collect results after a sensible window.
5. 5Decide whether to repeat, revise, or stop the content angle.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Codex, Claude Code, and other Agent Skills-compatible clients.

  From compatibility in the SKILL.md frontmatter.

Context cost

Linkedin Post Experimentation loads about 587 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~76

When it runs · the whole SKILL.md, loaded when a task matches

~587

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its MIT licence (© hashgraph-online). 162 words, ~587 tokens.

name

linkedin-post-experimentation

description

Plan, measure, and iterate LinkedIn content experiments using post hypotheses, format tests, analytics, comments, and learning loops. Use when comparing LinkedIn hooks, formats, topics, hashtags, posting cadence, newsletters, documents, videos, or content performance data.

compatibility

Codex, Claude Code, and other Agent Skills-compatible clients.

license

MIT

metadata.version

0.1.0

metadata.displayName

LinkedIn Post Experimentation

metadata.category

Marketing

metadata.tags

linkedin-writing,linkedin,analytics,content-experiments,growth,social-media

# LinkedIn Content Experiment

## Hypothesis
[Audience + content variable + expected signal.]

## Test Design
- Variable:
- Control or comparison:
- Format:
- Publishing window:
- Engagement plan:

## Metrics
| Metric | Why It Matters | Target |
|--------|----------------|--------|

## Decision Rules
- Repeat:
- Revise:
- Stop:

## Learning Log
- What happened:
- What to try next:

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in plugins/LVTD-LLC/skills/skills/linkedin-post-experimentation of hashgraph-online/awesome-codex-plugins.

• SKILL.md
• references/core/examples.md
• references/core/knowledge.md
• references/core/rules.md
• workflows/run-post-experiment.md

Open the folder on GitHubat commit 78497e5