MathModeling-skills: Skill for Claude Code

.claude/skills/modeler-decision-logger/SKILL.md

modeler-decision-logger is a skill for Claude Code from zhnnky329/MathModeling-skills. It costs 49 tokens per session (704 once invoked), scanned A, original, MIT.

A record-keeping tool for appending a human modeler’s choices and reasons to one per-subquestion decision log.

In plain words
What is it for?
Use it after a choice is made to record the selected method or assumption, the rationale, evidence references, status, and any decision it replaces.
Why use it?
It makes important judgments traceable and prevents conflicting or duplicated decision records.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is zhnnky329/MathModeling-skills's own configuration. It tells Claude Code how to work on MathModeling-skills 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 MathModeling-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zhnnky329/MathModeling-skills. 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/zhnnky329/MathModeling-skills/main/.claude/skills/modeler-decision-logger/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills

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 modeler-decision-logger

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/modeler-decision-logger/github.svg)](https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/modeler-decision-logger)
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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/modeler-decision-logger"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/modeler-decision-logger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 704 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00049 $0.00704
Opus 5 $0.00024 $0.00352
Sonnet 5 $0.00010 $0.00141
Haiku 4.5 $0.00005 $0.00070

Measured 12d ago against content hash 70470d8a304e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

modeler-decision-logger 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 12d 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/modeler-decision-logger/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Make human judgment traceable without multiplying decision files.

Canonical Output

methods/Qx/qx_decisions.jsonl

One JSON object per line. Records are append-only.

Use planning/framing_decisions.jsonl for global/pre-Qx framing decisions.

Required Fields

{
  "schema_version": 1,
  "decision_id": "q1_method_choice",
  "decision_type": "method_choice",
  "status": "DECIDED",
  "decided_by": "human",
  "captured_in_mode": "learning",
  "choice": "M2",
  "rationale": "Human-authored reason tied to evidence.",
  "evidence_refs": ["methods/Q1/probes/risk_probe_summary.json"],
  "decided_at": "ISO-8601",
  "supersedes": null
}

Optional structured fields may include confidence, rejected alternatives, round action, claim scope, assumption labels, or fallback activation.

Workflow

  1. Receive the human's answer, the choice-card ID, and evidence paths.
  2. Preserve the user's meaning and wording. Normalize only structure, identifiers, and whitespace.
  3. Verify:
    • the choice is one of the presented options or explicitly records a user-supplied alternative;
    • evidence paths exist;
    • rationale is non-empty and contains no placeholder;
    • the record does not falsely label AI-authored prose as human-authored.
  4. Append one JSON line.
  5. If revising a decision, append a new record with supersedes; never overwrite history.
  6. Update the compact history in qx_method_card.md only when the decision changes method state.
  7. Update the manifest gate/status fields when present.

Decision Types

Typical values:

  • framing
  • method_choice
  • fallback_activation
  • result_verdict
  • stability_verdict
  • assumption_necessity
  • claim_scope
  • package_signoff
  • submission_authorization

Staleness

Mark a decision stale only when its cited evidence materially changed:

  • append a decision_stale record naming the old decision and changed evidence;
  • ask the human to reconfirm through one choice card;
  • do not mark decisions stale because unrelated files or formatting changed.

Read the full file on GitHub · 97 lines

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. 12d ago First seen · 97 lines · 49 tokens per session scan A 70470d8a304e

Subscribe to this mod's changes

modeler-decision-logger is a skill published in the GitHub repository zhnnky329/MathModeling-skills (882 stars, last pushed 18d ago), licensed MIT. It adds 49 tokens to every session and 704 once invoked, about $0.0002 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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