Agent skill

Modeler Decision Logger

by zhnnky329 in zhnnky329/MathModeling-skills

Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger.

MITAuto-check passed

Install Modeler Decision Logger

skills CLI
$ npx skills add zhnnky329/MathModeling-skills --skill modeler-decision-logger -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zhnnky329/MathModeling-skills modeler-decision-logger --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/modeler-decision-logger .claude/skills/modeler-decision-logger && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
modeler-decision-logger
GitHub stars
1.1k
Token cost
~783 tokens
SKILL.md length
292 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger.

  • Works in 7 steps: Receive the human's answer, the… → Preserve the user's meaning and wording.… → Verify → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Modeler Decision Logger is an agent skill from zhnnky329/MathModeling-skills. Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger. Use after a choice card is answered or when migrating legacy decision artifacts; never originate or improve the decision.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 面向数学建模竞赛的 Claude Code / Codex Skills ,支持分阶段建模流程与 Python、MATLAB/北太天元代码分支。 The licence is MIT.

Example prompts

  • “/modeler-decision-logger”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  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
  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 0b46e9c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Modeler Decision Logger loads about 783 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 292 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~783

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zhnnky329/MathModeling-skills at commit 0b46e9c, republished under its MIT licence (© zhnnky329). 292 words, ~783 tokens.

Download SKILL.mdSave it as .claude/skills/modeler-decision-logger/SKILL.md (or your agent's skills folder).
name
modeler-decision-logger
description
Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger. Use after a choice card is answered or when migrating legacy decision artifacts; never originate or improve the decision.

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

json
{
  "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.

Legacy Migration

Read legacy:

  • methods/Qx/qx_decision_log.md
  • methods/Qx/decisions/*_modeler_decision.md

Migrate only completed human decisions. Preserve original timestamps and source paths when available. Do not convert PENDING placeholders into decisions.

Rules

  • Never choose, rationalize, strengthen, or complete the user's decision.
  • Never create a separate pending decision artifact.
  • Never copy ai_suggestion into the human rationale.
  • One evidence-linked sentence is enough; do not impose arbitrary prose length.
  • Preserve an honest AI-use provenance distinction.

Verification

  • JSONL is valid one-object-per-line.
  • Record is append-only and uniquely identified.
  • Human ownership and evidence are accurate.
  • Supersession and staleness preserve history.

© zhnnky329, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .codex/skills/modeler-decision-logger of zhnnky329/MathModeling-skills.

Open the folder on GitHubat commit 0b46e9c

Compare with similar skills

Modeler Decision Logger next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Modeler Decision Logger compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Modeler Decision Logger this skillzhnnky329/MathModeling-skills1.1k—~783Automated safety check: PassMIT
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Model Bank Metadatalobehub/lobehub83k—~2kAutomated safety check: PassCustom licence
Harness Threat Modelruvnet/ruflo74k—~363Automated safety check: NotesMIT
OmniRoute Model Catalog CLIdiegosouzapw/OmniRoute75k—~554Automated safety check: PassMIT
Model Usageopenclaw/openclaw392k1 repos~637Automated safety check: PassMIT

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Questions about Modeler Decision Logger

What does Modeler Decision Logger do?

Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger. Modeler Decision Logger is an agent skill from zhnnky329/MathModeling-skills. Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger.

How do I install Modeler Decision Logger in Claude Code?

Run `npx skills add zhnnky329/MathModeling-skills --skill modeler-decision-logger -a claude-code`. Or copy the skill folder (.codex/skills/modeler-decision-logger in zhnnky329/MathModeling-skills) into .claude/skills/modeler-decision-logger in your project. Claude Code loads it when a task matches its description.

How do I install Modeler Decision Logger in Codex?

Run `npx skills add zhnnky329/MathModeling-skills --skill modeler-decision-logger -a codex`. Or copy the skill folder (.codex/skills/modeler-decision-logger in zhnnky329/MathModeling-skills) into .agents/skills/modeler-decision-logger in your project. Codex loads it when a task matches its description.

Can I use Modeler Decision Logger in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zhnnky329/MathModeling-skills --skill modeler-decision-logger -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/modeler-decision-logger, .gemini/skills/modeler-decision-logger, .github/skills/modeler-decision-logger and .opencode/skills/modeler-decision-logger in your project.

What does Modeler Decision Logger need to run?

SKILL.md names no scripts, command-line tools or credentials: Modeler Decision Logger is instructions for the agent only.

Does Modeler Decision Logger access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Modeler Decision Logger safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Modeler Decision Logger use?

Modeler Decision Logger is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Modeler Decision Logger use?

About 783 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Modeler Decision Logger?

Skills that share tags, products or a category with Modeler Decision Logger: OmniRoute Model Catalog (diegosouzapw/OmniRoute, 75k stars), Model Bank Metadata (lobehub/lobehub, 83k stars), Harness Threat Model (ruvnet/ruflo, 74k stars) and OmniRoute Model Catalog CLI (diegosouzapw/OmniRoute, 75k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Modeler Decision Logger?

zhnnky329 (a GitHub user) maintains it in zhnnky329/MathModeling-skills, which has 1,060 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 24, 2026.

Source: zhnnky329/MathModeling-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.