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 PyModel/pythinker-cli --skill customize-pythinkergit clone --depth 1 https://github.com/PyModel/pythinker-cliWrote 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/pymodel/pythinker-cli/customize-pythinker)<a href="https://agentmods.dev/skills/pymodel/pythinker-cli/customize-pythinker"><img src="https://agentmods.dev/badge/skills/pymodel/pythinker-cli/customize-pythinker/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/pymodel/pythinker-cli/customize-pythinker"><img src="https://agentmods.dev/badge/skills/pymodel/pythinker-cli/customize-pythinker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00098 | $0.01401 |
| Opus 5.5 | $0.00039 | $0.00560 |
| Sonnet 5.5 | $0.00020 | $0.00280 |
| Haiku 4.5 | $0.00010 | $0.00140 |
Grade A, and why
customize-pythinker 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 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.
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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customize Pythinker
Authoritative, offline schema for editing Pythinker's own configuration surface. Pythinker
hard-fails on a malformed config, so get the schema right the first time. This skill covers the
config surfaces no other builtin skill owns. Out of scope: authoring agents (use agent-creator),
authoring skills (use skill-creator).
Always verify a value against the real schema before writing it. After any edit, confirm Pythinker still starts (a malformed file aborts startup).
Agent YAML (agentspec.py)
An agent spec is a YAML file with a separate system-prompt markdown file. Inheritance lets a project agent extend the builtin one.
| Field | Type | Notes |
|---|---|---|
extend |
str | Agent file to inherit from. "default" inherits the builtin agent. Child fields override parent; system_prompt_args merge by key; subagents merge with child entries winning. |
name |
str | Required (or inherited via extend). |
system_prompt_path |
path | Required; resolved relative to the YAML file. |
system_prompt_args |
dict[str,str] | Conventionally carries ROLE_ADDITIONAL (persona text). Merged when extending. |
tools |
list[str] | module:ClassName form, e.g. pythinker_code.tools.file:ReadFile. |
allowed_tools / exclude_tools |
list[str] | Narrow the inherited/declared tool set. |
model |
str | Optional model alias. |
mode |
primary | subagent | all | hidden |
Defaults to primary. |
hidden |
bool | Optional; hides the agent from default selection. Distinct from mode: hidden. |
steps |
int ≥ 1 | Max steps per turn. |
temperature |
float 0–2 | Optional. |
top_p |
float 0–1 | Optional. |
when_to_use |
str | Delegation guidance for the orchestrator. |
subagents |
dict[name → {path, description}] | Child subagent map. |
Project agents are auto-discovered as *.md files (Claude-style frontmatter) in, by precedence:
.pythinker/agents/ > .claude/agents/ > .agents/agents/ > .codex/agents/. A markdown agent
whose name matches a builtin subagent type is skipped (the builtin wins); use a distinct name.
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 · 114 lines · 98 tokens per session scan A f623124e1350
customize-pythinker is a skill published in the GitHub repository PyModel/pythinker-cli (21 stars, last pushed 3d ago), licensed Apache-2.0. It adds 98 tokens to every session and 1,401 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 2026-08-30.
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