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 aAAaqwq/AGI-Super-Team --skill api-toolkitgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/api-toolkit)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/api-toolkit"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/api-toolkit/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/aaaaqwq/agi-super-team/api-toolkit"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/api-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 23 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 23 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 27 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 33 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 69 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 69 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 75 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00031 | $0.00692 |
| Opus 5.5 | $0.00012 | $0.00277 |
| Sonnet 5.5 | $0.00006 | $0.00138 |
| Haiku 4.5 | $0.00003 | $0.00069 |
Grade A, and why
api-toolkit scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.example.com/endpoint" \ What it actually says
API Toolkit Skill
通用 API 调用工具包，用于快速接入任何 RESTful API。
使用场景
- 调用第三方 API 服务
- 测试和调试 API 端点
- 构建自动化工作流
- 数据获取和同步
核心能力
1. HTTP 请求
# GET 请求
curl -s "https://api.example.com/endpoint" \
-H "Authorization: Bearer $(pass show tokens/example-api)"
# POST 请求
curl -s -X POST "https://api.example.com/endpoint" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY" \
-d '{"key": "value"}'
# 带查询参数
curl -s "https://api.example.com/search?q=query&limit=10"
2. 认证方式
| 方式 | 示例 |
|---|---|
| Bearer Token | -H "Authorization: Bearer $TOKEN" |
| API Key Header | -H "X-API-Key: $KEY" |
| Basic Auth | -u "user:pass" |
| Query Param | ?api_key=$KEY |
3. 响应处理
# JSON 解析
curl -s ... | jq '.data'
# 提取特定字段
curl -s ... | jq -r '.items[].name'
# 错误检查
response=$(curl -s -w "\n%{http_code}" ...)
body=$(echo "$response" | head -n -1)
code=$(echo "$response" | tail -n 1)
常用 API 模板
天气 API (wttr.in)
curl -s "wttr.in/Shanghai?format=j1" | jq '.current_condition[0]'
GitHub API
curl -s "https://api.github.com/users/USERNAME/repos" \
-H "Authorization: token $(pass show tokens/github)"
Telegram Bot API
curl -s "https://api.telegram.org/bot$TOKEN/sendMessage" \
-d "chat_id=$CHAT_ID" \
-d "text=$MESSAGE"
安全注意事项
- 密钥管理 - 使用
pass存储，不硬编码 - 日志脱敏 - 不在输出中显示完整密钥
- 速率限制 - 遵守 API 的调用频率限制
- 错误处理 - 检查响应状态码
添加新 API
- 获取 API 文档和密钥
- 存储密钥：
pass insert tokens/new-api - 测试基本调用
- 记录到 TOOLS.md
相关文件
TOOLS.md- 记录已配置的 APISECURITY.md- 安全策略memory/audit-*.log- 操作审计
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.
- 1mo ago First seen · 99 lines · 31 tokens per session scan A 3a0b5dc13277
api-toolkit is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (110 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 692 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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