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/pymodel/pythinker-cli/designer-skillnpx skills add PyModel/pythinker-cli --skill designer-skillgit clone --depth 1 https://github.com/PyModel/pythinker-cliWhat 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 | $0.00072 | $0.00484 |
| Opus 5 | $0.00036 | $0.00242 |
| Sonnet 5 | $0.00014 | $0.00097 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
designer-skill 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
designer-skill (MCP)
designer-skill is not a filesystem workflow skill. It is delivered by the connected designer-skill MCP server. After reading this stub, call the MCP tools below — do not call ReadSkill again for the same name.
Required MCP tools
Call these by their registered tool keys (mcp__designer-skill__<tool>):
| Step | Tool | Purpose |
|---|---|---|
| 1 | get_design_system |
Session preflight, precedence rules, routing map, ship-gate overview |
| 2 | get_reference |
Load the specific reference file the task needs |
| 3 | dispatch_intent |
Route ambiguous design requests to the right reference/workflow |
| 4 | apply_designer |
Apply prescriptive design moves to the scoped surface |
| 5 | anti_slop_checklist |
Mandatory ship gate before declaring frontend work done |
If a tool is missing, check /mcp — the server may still be connecting.
Session preflight
Before editing UI:
- Read project design sources when present (
DESIGN.md,PRODUCT.md, or equivalent). - Call
get_design_systemfirst. - Pull only the references the scoped surface needs via
get_reference. - Implement changes; run
anti_slop_checklistbefore finishing.
Common aliases
These names refer to the same MCP integration — always use MCP tools, not ReadSkill:
designer-skilldesigner-skill:designer-skill(plugin-style slash autocomplete)- "use designer-skill mcp" / "designer mcp"
When MCP is unavailable
If /mcp shows designer-skill disconnected, run pythinker mcp to configure/auth it. Do not substitute ad-hoc design advice for the MCP workflow when the user explicitly requested designer-skill.
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 · 44 lines · 72 tokens per session scan A 6c8748b9f84e
designer-skill is a skill published in the GitHub repository PyModel/pythinker-cli (20 stars, last pushed 5d ago), licensed Apache-2.0. It adds 72 tokens to every session and 484 once invoked, about $0.0004 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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