Use HighLevel contacts, pipelines, appointments, messages, and its broader operation catalog.

CC0-1.0Auto-check passed

Install Ghl

skills CLI
$ npx skills add asgeirtj/system_prompts_leaks --skill ghl -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install asgeirtj/system_prompts_leaks ghl --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Meta/muse-agent/skills/ghl .claude/skills/ghl && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ghl
GitHub stars
69k
Token cost
~975 tokens
SKILL.md length
466 words
Files
3
Skills in repo
128
Repo updated
First seen
Licence
CC0-1.0

At a glance

Use HighLevel contacts, pipelines, appointments, messages, and its broader operation catalog.

  • SKILL.md covers Find the operation and… and Read or change data
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ghl is an agent skill from asgeirtj/system_prompts_leaks. Use HighLevel contacts, pipelines, appointments, messages, and its broader operation catalog.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `connector_auth_config.yaml` and `manifest.yaml`).

The repository describes itself as: Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro… The licence is CC0-1.0.

Example prompts

  • “/ghl”

What it can do on your machine

Read from SKILL.md and the folder at commit 60d44cc. 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 bash).

    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.

Context cost

Ghl loads about 975 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 466 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~975

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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 asgeirtj/system_prompts_leaks at commit 60d44cc, republished under its CC0-1.0 licence (© asgeirtj). 466 words, ~975 tokens.

Download SKILL.mdSave it as .claude/skills/ghl/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
ghl
description
Use HighLevel contacts, pipelines, appointments, messages, and its broader operation catalog.
icon
📇
metadata.includeInPrompt
false

HighLevel

Always call the product HighLevel in user-facing responses. Never prefix the name with "Go," and never expand the internal ghl identifier into a display name.

Use /opt/hatch/bin/ghl status to check the connection. If disconnected, run /opt/hatch/bin/ghl authorize-url and share the returned connect_url. The user signs in through HighLevel; never request credentials in chat.

Find the operation and sub-account

Run /opt/hatch/bin/ghl list-operations for the pinned operation catalog and its granular permission methods. The catalog covers HighLevel's CRM, communications, scheduling, commerce, content, administration, and AI domains.

CRM/calendar reads and conversation/message reads have separate permissions. Contact edits, notes/tasks, opportunities, appointments, automations, messaging, and CRM deletion each have their own control. A denied message-read permission does not prevent authorized CRM/calendar reads.

Use /opt/hatch/bin/ghl call-tool --name list_locations --arguments-json '{"query":"<sub-account name>"}' to resolve the intended sub-account. If several match, ask which one the user means. Retain its ID for execution.

Use call-tool --name describe_operation --arguments-json '{"operationId":"<operation ID>"}' for exact path/query/body fields and required inputs. search_operations searches HighLevel's live catalog. Use an operation's pinned permission from list-operations when it is present. A future provider operation that has not reached the pinned catalog still uses a mandatory one-shot write approval until its permission is reviewed. list-tools returns live discovery tool schemas. These calls use /opt/hatch/bin/ghl too.

Read or change data

bash
/opt/hatch/bin/ghl execute-operation \
  --operation-id <operation ID> --location-id <sub-account ID> \
  --params-json '{"path":{},"query":{},"body":{}}'

Supply path IDs and payload fields from describe_operation. Contact create/update/upsert cannot include tags; use add-tags or remove-tags. Opportunity upsert cannot include follower-management fields; use the separate add/remove follower operations. Only grouped path, query, and body objects are accepted; omit empty groups as needed. For each logical write/delete, also supply a fresh --idempotency-key <UUID>. An optional --reason explains the action. --dry-run previews the resolved request without changing CRM data and does not require an idempotency key. A dry run does not authorize the subsequent write.

Show full SKILL.md (169 more words)Show less

Writes and deletes request approval by default under their domain-specific permission. Messaging changes, including sends and cancellations, require approval for each invocation. Appointment changes can notify contacts or trigger configured automations (toNotify defaults to true); campaign and workflow enrollment can also start communications. Include the intended notification behavior in the request. Use a read to identify an existing record before updating or deleting it; never guess target IDs.

The CLI does not automatically retry mutations. If a write fails after submission or its outcome is unconfirmed, inspect the record or provider status before trying again. Keep the same idempotency key for the same logical mutation; do not create a fresh key to work around uncertainty. Report sends as accepted or scheduled unless the provider confirms delivery.

Treat financial, publishing, messaging, access-control, and deletion operations as consequential: describe the operation first, show the exact intended parameters, and never infer or reuse identifiers across sub-accounts. Future operations not yet in list-operations require fresh approval, even for a read or dry run.

© asgeirtj, CC0-1.0. 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 2 other files in Meta/muse-agent/skills/ghl of asgeirtj/system_prompts_leaks.

  • SKILL.md
  • connector_auth_config.yaml
  • manifest.yaml

Open the folder on GitHubat commit 60d44cc

Compare with similar skills

Ghl next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ghl compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ghl this skillasgeirtj/system_prompts_leaks69k—~975Automated safety check: PassCC0-1.0
Messages Opsaffaan-m/ECC276k1 repos~724Automated safety check: PassMIT
Operator Approval Loopaffaan-m/ECC276k—~3.3kAutomated safety check: PassMIT
Opensource Pipelineaffaan-m/ECC276k1 repos~1.8kAutomated safety check: NotesMIT
Orch Pipelineaffaan-m/ECC276k1 repos~1.6kAutomated safety check: PassMIT
It Operationsdavila7/claude-code-templates33k1 repos~3.7kAutomated safety check: PassMIT

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Questions about Ghl

What does Ghl do?

Use HighLevel contacts, pipelines, appointments, messages, and its broader operation catalog. Ghl is an agent skill from asgeirtj/system_prompts_leaks. Use HighLevel contacts, pipelines, appointments, messages, and its broader operation catalog.

How do I install Ghl in Claude Code?

Run `npx skills add asgeirtj/system_prompts_leaks --skill ghl -a claude-code`. Or copy the skill folder (Meta/muse-agent/skills/ghl in asgeirtj/system_prompts_leaks) into .claude/skills/ghl in your project. Claude Code loads it when a task matches its description.

How do I install Ghl in Codex?

Run `npx skills add asgeirtj/system_prompts_leaks --skill ghl -a codex`. Or copy the skill folder (Meta/muse-agent/skills/ghl in asgeirtj/system_prompts_leaks) into .agents/skills/ghl in your project. Codex loads it when a task matches its description.

Can I use Ghl in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgeirtj/system_prompts_leaks --skill ghl -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ghl, .gemini/skills/ghl, .github/skills/ghl and .opencode/skills/ghl in your project.

What does Ghl need to run?

SKILL.md names no scripts, command-line tools or credentials: Ghl is instructions for the agent only.

Does Ghl access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ghl safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ghl use?

Ghl is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ghl use?

About 975 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ghl?

Skills that share tags, products or a category with Ghl: Messages Ops (affaan-m/ECC, 276k stars), Operator Approval Loop (affaan-m/ECC, 276k stars), Opensource Pipeline (affaan-m/ECC, 276k stars) and Orch Pipeline (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ghl?

asgeirtj (a GitHub user) maintains it in asgeirtj/system_prompts_leaks, which has 69,280 GitHub stars. The repository holds 128 skills in this directory. The repository was last updated on October 10, 2026.

Source: asgeirtj/system_prompts_leaks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.