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/ericwang915/pythonclaw/change_settingnpx skills add ericwang915/PythonClaw --skill change_settinggit clone --depth 1 https://github.com/ericwang915/PythonClawWhat 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 | $0.00056 | $0.00544 |
| Opus 5 | $0.00028 | $0.00272 |
| Sonnet 5 | $0.00011 | $0.00109 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
change_setting 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 2d 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.
What it actually says
Change Setting Skill
Modify pythonclaw.json configuration at runtime.
When to Use
✅ USE this skill when:
- "Set my API key to ..."
- "Change LLM provider to Claude"
- "Update my Tavily/Telegram/GitHub token"
- "Change the web port to 8080"
- "Configure email credentials"
- User wants to change any runtime setting without editing files manually
When NOT to Use
❌ DON'T use this skill when:
- Changing agent personality or identity → use change_persona or change_soul
- Editing Python code or skill files → use file edit tools
- Adding/removing skills → use skill management or manual file edits
Usage/Commands
Show current config:
python {skill_path}/update_config.py --show
Update a value (dot-notation for key path):
python {skill_path}/update_config.py --set "llm.deepseek.apiKey" "sk-xxx"
Examples:
# Change LLM provider
python {skill_path}/update_config.py --set "llm.provider" "claude"
# Set Tavily API key
python {skill_path}/update_config.py --set "tavily.apiKey" "tvly-xxx"
# Set Telegram token
python {skill_path}/update_config.py --set "channels.telegram.token" "123:ABC"
# Set GitHub token
python {skill_path}/update_config.py --set "skills.github.token" "ghp_xxx"
# Change web port
python {skill_path}/update_config.py --set "web.port" "8080"
# Set email credentials
python {skill_path}/update_config.py --set "skills.email.senderEmail" "[email protected]"
python {skill_path}/update_config.py --set "skills.email.senderPassword" "app-password"
After updating, tell the user the change was saved and whether a restart is needed to take effect.
Notes
- Uses bundled
update_config.pyto read and update pythonclaw.json - API keys, passwords, and tokens are masked when displaying config
- Only
pythonclaw.jsonis modified — no other files
What ships with it
1 file 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.
- 2d ago First seen · 70 lines · 56 tokens per session scan A 643554849e45
change_setting is a skill published in the GitHub repository ericwang915/PythonClaw (41 stars, last pushed 24d ago), licensed MIT. It adds 56 tokens to every session and 544 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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