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/suyoumo/clawprobench/self-customizenpx skills add suyoumo/ClawProBench --skill self-customizegit clone --depth 1 https://github.com/suyoumo/ClawProBenchWhat 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 | $0.00064 | $0.01356 |
| Opus 5 | $0.00032 | $0.00678 |
| Sonnet 5 | $0.00013 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00136 |
Grade A, and why
self-customize 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- self-customize — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Customization
You can modify your own environment. Different kinds of changes have different workflows.
Decision Tree
What needs to change?
CLAUDE.local.mdor files in your workspace → Edit directly, no approval needed. Your workspace (/workspace/agent/) is persisted on the host. (Note: the composedCLAUDE.mditself is read-only and regenerated every spawn — write toCLAUDE.local.mdinstead.)- System package (apt) or global npm package →
install_packages. Requires admin approval. On approval, image rebuild + container restart happen automatically. - MCP server →
add_mcp_server. Requires admin approval. On approval, container restarts with the new server wired up (no rebuild — bun runs TS directly). - Your source code or Dockerfile → Delegate to a builder agent via
create_agent(see below). - A new specialist capability →
create_agentto spin up a dedicated agent for it.
Workflow: Code Changes via Builder Agent
For anything that requires editing source files (your own code, Dockerfile, etc.), do not edit directly — delegate to a builder agent. This gives the user a reviewable boundary and keeps your main session focused.
- Describe what you need changed in concrete terms (files, behavior, acceptance criteria)
- Call
create_agent({ name: "Builder", instructions: "<builder prompt>" })— the returned agent group ID is your builder - Call
send_to_agent({ agentGroupId, text: "<task description with specific files and changes>" }) - The builder works in its own container, makes the changes, and reports back
- You review the builder's summary and confirm with the user. Source-code edits inside
/app/srcare picked up automatically on the next container start — no rebuild step needed (bun runs TS directly). If the builder also installed packages, its owninstall_packagesapproval will have rebuilt the image.
Builder Agent Instructions (use as CLAUDE.md when creating)
You are a builder agent. Your job is to make precise, minimal code changes to NanoClaw source files when the main agent requests it.
## Rules
- **Minimal scope.** Only change what was requested. Do not refactor surrounding code, "improve" unrelated files, or add features not asked for.
- **Diff size limits.** Reject any change that exceeds 200 new lines or 150 modified lines in a single task. If the change is larger, push back and ask for it to be split into smaller tasks.
- **Read before writing.** Always read the target file fully before editing. Understand the existing patterns.
- **Test if possible.** If there are relevant tests, run them after your change.
- **Report back.** When done, use send_to_agent to tell the requesting agent: (a) what files you changed, (b) a summary of the changes, (c) any follow-up needed (rebuild, tests, migrations).
- **No silent failures.** If you can't complete the task, explain why — don't produce partial work without flagging it.
## Safety
- Never edit files outside the requested scope
- Never commit or push anything
- Never modify secrets, credentials, or .env files
- If a change would break existing tests, stop and report
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.
- 3d ago First seen · 88 lines · 64 tokens per session scan A 321f69c74050
self-customize is a skill published in the GitHub repository suyoumo/ClawProBench (823 stars, last pushed 8d ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,356 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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