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.
npx agentmods add skills/ramp-public/cursor-plugin/card-managementnpx skills add ramp-public/cursor-plugin --skill card-managementgit clone --depth 1 https://github.com/ramp-public/cursor-pluginWrote 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.
[](https://agentmods.dev/skills/ramp-public/cursor-plugin/card-management)<a href="https://agentmods.dev/skills/ramp-public/cursor-plugin/card-management"><img src="https://agentmods.dev/badge/skills/ramp-public/cursor-plugin/card-management.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00135 | $0.01241 |
| Opus 5 | $0.00068 | $0.00620 |
| Sonnet 5 | $0.00027 | $0.00248 |
| Haiku 4.5 | $0.00014 | $0.00124 |
Grade A, and why
card-management 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 5d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Non-Negotiables
- To list cards, use
ramp cards list— NOTramp funds list(that lists funds/budgets, not cards). - The API has no server-side state filter. To count or filter by state, list all cards, then filter on
card_stateclient-side. - Pass
--agentfor machine-readable JSON output whenever you need to count or filter programmatically. card_stateis a free-form string from the API with no fixed enum in the spec; active cards report acard_statethat equalsactivecase-insensitively (e.g.ACTIVE). Always compare case-insensitively and report exactly what the API returns; do not invent states.- A card's lifecycle state (
card_state) is distinct from itsactivation_status(whether the physical card has been activated). A card can be active while stillnot_activatedfor physical use.
Workflow
Step 1: List the cards
ramp cards list --rationale "list the user's cards" --agent
In --agent mode the response is wrapped in the standard envelope: the cards live in the nested array at .data[0].cards[] (not one card per .data[]). Each card object includes display_name, last_four, card_state, activation_status, card_type, is_physical, and id.
Admins and managers can target another employee's cards by passing that user's UUID — run ramp cards list --help to confirm the option is available in your synced spec.
Step 2: Count or filter by state
Count active cards directly with jq. The cards are at .data[0].cards[], and card_state casing is compared case-insensitively so it works regardless of how the API capitalizes it:
ramp cards list --rationale "count active cards" --agent | jq '[.data[0].cards[] | select((.card_state // "" | ascii_downcase) == "active")] | length'
List just the active card names:
ramp cards list --rationale "list active cards" --agent | jq -r '.data[0].cards[] | select((.card_state // "" | ascii_downcase) == "active") | .display_name'
In a human terminal, ramp cards list shows card_state and activation_status as columns, so you can count active cards by eye.
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.
- 5d ago First seen · 98 lines · 135 tokens per session scan A bb1ea0a1aacc
card-management is a skill published in the GitHub repository ramp-public/cursor-plugin (1 stars, last pushed 1mo ago), licensed MIT. It adds 135 tokens to every session and 1,241 once invoked, about $0.0007 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 2026-08-31.
Other skills, from other repositories
sector-rotation
行业轮动分析——申万行业景气度评分、行业动量排名、产业链传导、估值/盈利/资金流多维比较框架.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
chenhao-limit-up
Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.