Read-only Ramp corporate spend: transactions, cards and card limits, users, departments.

MITAuto-check passed

Install Ramp

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill ramp -a claude-code

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

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors ramp --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/ramp .claude/skills/ramp && 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
ramp
GitHub stars
1.3k
Token cost
~872 tokens
SKILL.md length
333 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Read-only Ramp corporate spend: transactions, cards and card limits, users, departments.

  • Works in 4 steps: This connector stays read-only: it wires… → Collect the credential with read-only… → Never exfiltrate the credential: the CLI… → …
  • Corporate spend
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder; reaches api.ramp.com

What it does

Ramp is an agent skill from Anil-matcha/awesome-muse-connectors. Read-only Ramp corporate spend: transactions, cards and card limits, users, departments. No spend actions by design. Trigger phrases: ramp, corporate spend, expense transactions, card spend limits.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/ramp.py`).

The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Corporate spend
  • Expense transactions
  • Card spend limits

Example prompts

  • “/ramp”

Requirements

  • Python 3

Workflow steps

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

  1. This connector stays read-only: it wires only GET endpoints, because one mistyped id or misread instruction in a write-capable connector…
  2. Collect the credential with read-only scopes only. If Ramp adds broader scopes to the stored credential later, this CLI still cannot spend…
  3. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/ramp.py). Do not print, log, or transmit the client secret…
  4. Honesty flags (unverified while building this connector): the single-transaction GET path and the departments list path were not confirmed…

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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

    Ships script files (Python), which the agent can run.

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.ramp.com

    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

Ramp loads about 872 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 333 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~872

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 333 words, ~872 tokens.

Download SKILL.mdSave it as .claude/skills/ramp/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ramp
description
Read-only Ramp corporate spend: transactions, cards and card limits, users, departments. No spend actions by design. Trigger phrases: ramp, corporate spend, expense transactions, card spend limits.
metadata.includeInPrompt
true
tagline
Read-only view of corporate spend: transactions, cards and limits, users, departments. No spend actions by design.
catalog_auth
OAuth 2.0 client credentials (per-user)
catalog_hosts
api.ramp.com

Ramp

Purpose

Inspect a Ramp corporate-spend account without any ability to move money: list and retrieve transactions, list cards and show their spending restrictions, list users, and list departments. Reach for this when the user wants spend visibility, expense review, or cardholder lookup. It cannot issue cards, set limits, pay bills, or reimburse.

Tooling

All commands go through bin/ramp.py. Read-only, so there is no sandbox/prod split: every call is a GET against https://api.ramp.com/developer/v1.

bash
bin/ramp.py auth                                   # verify the credential
bin/ramp.py transactions --limit 25                # list transactions
bin/ramp.py transactions --limit 50 --from-date 2026-09-01T00:00:00Z --to-date 2026-09-30T23:59:59Z
bin/ramp.py transaction-get --transaction-id TX_ID # one transaction
bin/ramp.py cards --limit 25                       # list cards
bin/ramp.py card-limits --card-id CARD_ID          # spending restrictions on one card
bin/ramp.py users --limit 25                       # list users
bin/ramp.py departments --limit 25                 # list departments

Auth

  • Provider id: ramp (credential is collected as custom.ramp)
  • Collection: Ramp API client id and secret (dashboard > Settings > Developer) via the secure credential flow (credentials.request_api_access); the runtime exchanges them at POST /developer/v1/token (OAuth 2.0 client credentials grant) and hands the CLI a fresh Bearer token
  • Auth scheme: Authorization: Bearer <token> on every request
  • Required scopes: read scopes only, e.g. transactions:read, cards:read, users:read; request no write scopes for this connector
  • Allowed hosts: api.ramp.com
  • Status check: bin/ramp.py auth

Operating Rules

  1. This connector stays read-only: it wires only GET endpoints, because one mistyped id or misread instruction in a write-capable connector could issue cards, pay bills, or move funds. Read access needs no confirmation; anything that spends money belongs in a separate, explicit flow.
  2. Collect the credential with read-only scopes only. If Ramp adds broader scopes to the stored credential later, this CLI still cannot spend anything because no write code path exists.
  3. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/ramp.py). Do not print, log, or transmit the client secret or tokens.
  4. Honesty flags (unverified while building this connector): the single-transaction GET path and the departments list path were not confirmed in the public docs consulted; the CLI surfaces Ramp's own error message if either is absent. card-limits reads the card object's spending_restrictions field; no separate limits endpoint was verified. Ramp also runs a demo host (demo-api.ramp.com), but this CLI targets production only, which is safe because it cannot spend.

Files

  • SKILL.md
  • bin/ramp.py

Maturity

Draft: written from Ramp's public developer docs; not yet live-tested end-to-end.

© Anil-matcha, 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 1 other file in connectors/ramp of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/ramp.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Ramp 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.

Ramp compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ramp this skillAnil-matcha/awesome-muse-connectors1.3k—~872Automated safety check: PassMIT
Ramppaperclipai/paperclip99k—~1.8kAutomated safety check: PassMIT
Card Xiaohongshunexu-io/open-design100k—~402Automated safety check: PassApache-2.0
Orbit Cardheygen-com/hyperframes59k1 repos~887Automated safety check: PassApache-2.0
Rampanthropics/claude-for-legal9.6k3 repos~2kAutomated safety check: PassApache-2.0
Cardly AutomationComposioHQ/awesome-claude-skills77k3 repos~727Automated safety check: PassNone

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Questions about Ramp

What does Ramp do?

Read-only Ramp corporate spend: transactions, cards and card limits, users, departments. Ramp is an agent skill from Anil-matcha/awesome-muse-connectors. Read-only Ramp corporate spend: transactions, cards and card limits, users, departments.

When should I use Ramp?

Ramp fits situations like: corporate spend; expense transactions; card spend limits.

How do I install Ramp in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill ramp -a claude-code`. Or copy the skill folder (connectors/ramp in Anil-matcha/awesome-muse-connectors) into .claude/skills/ramp in your project. Claude Code loads it when a task matches its description.

How do I install Ramp in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill ramp -a codex`. Or copy the skill folder (connectors/ramp in Anil-matcha/awesome-muse-connectors) into .agents/skills/ramp in your project. Codex loads it when a task matches its description.

Can I use Ramp 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 Anil-matcha/awesome-muse-connectors --skill ramp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ramp, .gemini/skills/ramp, .github/skills/ramp and .opencode/skills/ramp in your project.

What does Ramp need to run?

Going by SKILL.md and its folder, Ramp needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Ramp access the network?

SKILL.md names 1 domain. In commands or code: api.ramp.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Ramp 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 Ramp use?

Ramp is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ramp use?

About 872 tokens (SKILL.md is roughly 3.5k 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 Ramp?

Skills that share tags, products or a category with Ramp: Ramp (paperclipai/paperclip, 99k stars), Card Xiaohongshu (nexu-io/open-design, 100k stars), Orbit Card (heygen-com/hyperframes, 59k stars) and Ramp (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ramp?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.