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precis-mcp: Skill for Claude Code

.claude/skills/differentiation/SKILL.md

differentiation is a skill for Claude Code from retospect/precis-mcp. It costs 40 tokens per session (547 once invoked), scanned A, original, GPL-3.0.

A guide for choosing and checking how derivatives are calculated in gradient-based design code. A derivative describes how a small change to an input affects an objective.

In plain words
What is it for?
Use it when writing optimization code for shapes, density layouts, printed-circuit-board placement, or atomic geometry.
Why use it?
It helps prevent incorrect gradients, which can lead optimization in the wrong direction. It also requires a plan for verifying the assembled gradient.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is retospect/precis-mcp's own configuration. It tells Claude Code how to work on precis-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything precis-mcp configures →

not rated 11repo +2 changed 28d ago A scan 40 tokens GPL-3.0
View source ↗ retospect/precis-mcp pypi.org
Reuse

Borrowing it

Nothing to install: this file belongs to retospect/precis-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/retospect/precis-mcp/main/.claude/skills/differentiation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/retospect/precis-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for differentiation

README.md
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Your own site
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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.

agentmods 80×15 button for differentiation

Your own site · 80×15
<a href="https://agentmods.dev/skills/retospect/precis-mcp/differentiation"><img src="https://agentmods.dev/badge/skills/retospect/precis-mcp/differentiation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 547 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00547
Opus 5.5 $0.00016 $0.00219
Sonnet 5.5 $0.00008 $0.00109
Haiku 4.5 $0.00004 $0.00055

Measured 28d ago against content hash 688c17a61661, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

differentiation 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 28d 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.

.claude/skills/differentiation/SKILL.md · 51 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

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.

  1. 28d ago Changed · -6 lines · -49 tokens per session 688c17a61661
  2. 1mo ago First seen · 57 lines · 89 tokens per session scan A 3090f9f1a8d5

Subscribe to this mod's changes

differentiation is a skill published in the GitHub repository retospect/precis-mcp (11 stars, last pushed today), licensed GPL-3.0. It adds 40 tokens to every session and 547 once invoked, about $0.0002 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 2026-09-24.

LLMPythonScientificai-agentmcpmcp-servermodel-context-protocol
Related

differentiation compared with skills from other repositories

differentiation next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
differentiationretospect/precis-mcpSkill11todayGPL-3.0A40Claude Code
quantum-vqexi-zhao/OpenQuantumSkill71yesterdayMITA53Claude Code, Codex
quantum-vqlsxi-zhao/OpenQuantumSkill71yesterdayMITA56Claude Code, Codex
swagjmagar/swag-mcpSkill74d agoMITA118Claude Code
zenvital-ai-skillalphaparkinc/genpark-hubSkill913d agononeA87Claude Code, Codex
quantum-ground-statexi-zhao/OpenQuantumSkill71yesterdayMITA103Codex
quantum-amplitude-estimationxi-zhao/OpenQuantumSkill71yesterdayMITA63Claude Code, Codex