Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/karaage0703/ai-assistant-workspacenpx agentmods add skills/karaage0703/ai-assistant-workspace/xs-xangi-settingsWrote 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/karaage0703/ai-assistant-workspace/xs-xangi-settings)<a href="https://agentmods.dev/skills/karaage0703/ai-assistant-workspace/xs-xangi-settings"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-xangi-settings/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/karaage0703/ai-assistant-workspace/xs-xangi-settings"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-xangi-settings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 34 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 83 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00066 | $0.02034 |
| Opus 5 | $0.00033 | $0.01017 |
| Sonnet 5 | $0.00013 | $0.00407 |
| Haiku 4.5 | $0.00007 | $0.00203 |
Grade A, and why
xs-xangi-settings scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
xangi 設定変更スキル
チャットから xangi の設定確認、設定ファイル変更、反映再起動を行う。
基本方針
xangi 本体の設定項目や運用コマンドは変わる。スキル内の古い一覧だけで判断せず、作業前に対象 clone の一次情報を読む。
読む順番:
[XANGI_ROOT]/docs/usage.mdの環境変数・service・再起動まわり[XANGI_ROOT]/.env.example[XANGI_ROOT]/src/prompts/xangi-commands-chat-platform.ts(チャット上でAIに注入される最新運用ルール)
[XANGI_ROOT] は設定変更対象の xangi clone。[WORKSPACE] はこのワークスペース。
実行フロー
Step 1: 対象インスタンスを特定
複数の xangi clone が同じマシンで動くことがあるため、まず対象 clone を決める。
# 実行中コンテキストが xangi 上なら cwd/repo を確認
pwd
git rev-parse --show-toplevel 2>/dev/null
# xangi clone 候補と設定ファイルを確認
find "$HOME" -maxdepth 2 -name .env -path "$HOME/xangi-*/*" -print 2>/dev/null
# WORKSPACE_PATH / XANGI_INSTANCE_ID / XANGI_PROCESS_NAME / DATA_DIR を見て対象を絞る
for f in "$HOME"/xangi-*/.env; do
[ -f "$f" ] || continue
echo "## $f"
grep -E '^(WORKSPACE_PATH|XANGI_INSTANCE_ID|XANGI_PROCESS_NAME|DATA_DIR)=' "$f" || true
done
判定の目安:
- 現在の Discord / Slack / Web Chat / LINE セッションを動かしている clone を優先
WORKSPACE_PATHがこのワークスペースを指す clone を優先XANGI_PROCESS_NAMEは./bin/xangi service ...の PM2 対象名- Docker運用では host 側の compose / 設定ファイルを対象にし、コンテナ内だけを書き換えない
Step 2: 最新ドキュメントを確認
対象 clone が /path/to/xangi なら:
cd /path/to/xangi
rg -n "service start|service stop|service restart|service status|XANGI_PROCESS_NAME|TIMEOUT_MS|CHANNEL_OVERRIDES|AUTO_REPLY_CHANNELS|SLACK_AUTO_REPLY_CHANNELS|system_settings|system_restart" \
docs/usage.md .env.example src/prompts/xangi-commands-chat-platform.ts
運用ルールの現在形:
- 起動・停止・再起動・状態確認は対象 clone の
./bin/xangi service start|stop|restart|statusを使う - PATHから使う場合は
xangi-dev/xangi-prodのような名前付き symlink を使う xangi tool system_restartは起動中プロセスに graceful shutdown を要求する低レベル操作system_settingsは確認用。AI はsystem_settingsで設定変更しない- 設定ファイル変更後は対象 clone で
./bin/xangi service restartする
Step 3: 要望の種類を判定
- 設定確認 → Step 4a
- 設定変更 → Step 4b
Step 4a: 設定確認
cd /path/to/xangi
# service 状態
./bin/xangi service status
# 現在の設定を確認(トークン等は表示しない)
grep -vE '(TOKEN|SECRET|PASSWORD|API_KEY)=' .env | grep -v '^#' | grep -v '^$'
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.
- 12d ago First seen · 207 lines · 66 tokens per session scan A b85ddb787d3d
xs-xangi-settings is a skill published in the GitHub repository karaage0703/ai-assistant-workspace (137 stars, last pushed 25d ago), licensed MIT. It adds 66 tokens to every session and 2,034 once invoked, about $0.0003 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 2026-08-30.
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