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 skills add arunveersingh/ai --skill day-13-approval-cardgit clone --depth 1 https://github.com/arunveersingh/aiWrote 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/arunveersingh/ai/day-13-approval-card)<a href="https://agentmods.dev/skills/arunveersingh/ai/day-13-approval-card"><img src="https://agentmods.dev/badge/skills/arunveersingh/ai/day-13-approval-card/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.
<a href="https://agentmods.dev/skills/arunveersingh/ai/day-13-approval-card"><img src="https://agentmods.dev/badge/skills/arunveersingh/ai/day-13-approval-card.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00106 | $0.00779 |
| Opus 5.5 | $0.00042 | $0.00312 |
| Sonnet 5.5 | $0.00021 | $0.00156 |
| Haiku 4.5 | $0.00011 | $0.00078 |
Grade A, and why
approval-card 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 10d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Approval card
An agent re-presents 1,184 SEPA direct debits that failed in a bank outage. Its request reads "Dry run: OK. Schema: 1,184/1,184 valid pain.008. [Approve]", the 38th ask of the day, and it's approved in four seconds. The bank had booked 211 of them on Tuesday while clearing its backlog, so 211 customers are debited twice. Every line on the request was true; none could have failed on the harm.
Approved is not reviewed. Show the reasons to say no, or the yes means nothing.
Part A — Ask (project rules, or paste after your ticket)
Run reads, tests and local edits without asking.
Before any action that can't be undone, or that moves money, data or messages
outside this repo, stop and show me this card:
APPROVAL: <exact command or change>
UNDO: <how, or "none">
IF WRONG: <worst plausible result, with numbers>
STOP IF: each condition I listed, plus any you'd add:
<condition> | check: <command or query you ran> | result: <what it returned>
NOT CHECKED: <what you didn't verify>
If any STOP IF is met or has no result, recommend REFUSE and name the line.
Leave out checks that can't fail on the IF WRONG result.
In an orchestrated flow (spec → plan → tasks → implement): name the actions that need a person in the spec and write their STOP IF lines there; end each such task at a card; put routine commands on your tool's auto-run or allow-list.
Part B — Check (you do this)
approval_card.py has no dependencies. Put the card in JSON:
python3 approval_card.py card.before.json # the request as shown: REFUSE, nothing could make you say no
python3 approval_card.py card.example.json # the card: REFUSE, STOP IF 1 met (211 booked Tue)
python3 approval_card.py card.rebuilt.example.json # 973 debits, 75,940.95 EUR, 0 booked: MAY APPROVE
Exit 0 means every stop condition was checked and none is met; 1 means refuse. A stop condition with no check or no result counts as met. Checks listed outside any stop condition print as SHOWN ... (not tied to any stop condition).
What ships with it
4 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.
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.
- 10d ago First seen · 51 lines · 106 tokens per session scan A 9a439942d9b1
approval-card is a skill published in the GitHub repository arunveersingh/ai (3 stars, last pushed 3d ago), licensed Apache-2.0. It adds 106 tokens to every session and 779 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-16.
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