idea-evaluator
Evaluates a preliminary research idea against a five-dimension framework (Higher, Faster, Stronger, Cheaper, Broader) plus idea-lifecycle and…
Skill by zms618
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/zms618-idea-evaluator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, research
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/idea-evaluator
What's inside
- Skill name
idea-evaluator- Description
- Evaluates a preliminary research idea against a five-dimension framework (Higher, Faster, Stronger, Cheaper, Broader) plus idea-lifecycle and student-capability matching, paradigm-shift probing, and a fatal-flaws audit. Returns a reviewer-style verdict; non-STEM ideas route to substitute frameworks. Use when the user has a draft research idea and asks whether it is worth pursuing, asks to 'evaluate this idea', 'score this idea', 'assess feasibility', 'novelty check', 'is this a good research direction', or before committing to a paper scope.
- License
- CC-BY-4.0
- Instructions
- 315 lines in SKILL.md · view on GitHub
Files (12)
- SKILL.md
- domain-evaluation-frameworks.md · references/
- fatal-flaws.md · references/
- five-dimensions.md · references/
- lifecycle-capability-matching.md · references/
- paradigm-elephant.md · references/
- paradigm-examples.md · references/
- paradigm-first-principles.md · references/
- paradigm-hamming.md · references/
- paradigm-shift-probe.md · references/
- paradigm-technology-cycle.md · references/
- worked-examples.md · references/
SKILL.md (first lines)
# Idea Evaluator ## Overview This skill evaluates a preliminary research idea from the combined perspective of a top-venue reviewer and an experienced advisor. It scores the idea against five improvement dimensions from the idea-generation guide (Higher, Faster, Stronger, Cheaper, Broader), matches the idea's lifecycle against the user's actual capability and available hours per week, probes whether the idea has paradigm-shift potential, flags fatal flaws, and returns one of three verdicts: Strong Accept, Accept with Revisions, or Reject and Pivot. The goal is to kill weak ideas before the student invests months, and to shape promising-but-underdeveloped ideas into stronger forms before writing begins. ## When to use this skill - The user has a draft idea and asks whether it is worth pursuing. - The user asks for novelty check, feasibility assessment, or scoring. - Before the user commits to a paper scope or starts implementation. - The user is comparing two or three candidate ideas and needs a structured trade-off. - The user suspects scope creep and wants an external check. - The user mentions 'evaluate this idea', 'score this idea', 'assess feasibility', or 'is this a good research direction'. ## When NOT to use this skill - The user has already implemented the idea and is writing the paper. Use `intro-drafter`, `tech-paper-template`, or `benchmark-paper-template` (separate plugin) instead. - The user explicitly wants brainstorming of new ideas from scratch. Use plain conversation; see handbook 2.3 for a disruptive-innovation playbook. - The user asks for review of an existing manuscript. Use `pre-submission-reviewer`. - The user asks to evaluate a benchmark contribution specifically. Use `benchmark-paper-template` (separate plugin) in targeted mode. ## Core procedure ### Step 1: First impression and paper-type positioning Read the user's idea description. In one paragraph, state whether the idea reads as Novel Problem, Novel Method, or New Setting. Is the story compelling in one sentence? If you cannot write that sentence, the idea itself is probably not yet clear enough for evaluation; ask the user to restate. While restating, classify the research paradigm **by method, not by department name**: experiments, benchmarks, ablations, or model architectures mean STEM (continue with the five dimensions and fatal flaws below); text analysis, archives, or conceptual argument mean humanities; surveys, interviews, statistics, or fieldwork mean empirical social science; regressions, IV, DID, RDD, or panel data mean finance or economics; statutes, cases, or doctrine mean law. See: references/domain-evaluation-frameworks.md for the substitute five-dimension frameworks and fatal-flaw substitutions used by the non-STEM paradigms. When the paradigm is unclear, ask one question: "is the core method experiments, surveys, text analysis, or theoretical derivation?" ### Step 2: Fatal-flaws audit (early gate) See: references/fatal-flaws.md for the ten canonical fatal flaws, each with a detection rule and a defense strategy. Run the fatal-flaws audit **before** the scoring steps rather than after them. Identify at most two fatal flaws. For each, state the flaw, cite the detection rule, and recommend a concrete defense. **Ground the novelty flaw (F1) in real retrieval whenever the environment has a literature-search capability** (a scholarly search tool, web search over scholarly indexes, or shell access to public APIs). Extract two or three keyword groups from the idea (core method plus domain; mechanism plus task; technique plus benchmark), search, and name the three to five closest published works with title, authors, and year. For each, state which axis actually differs: the object acted on, the mechanism, the input granularity, or the problem setting. A similar title alone never establishes duplication; duplication requires failing to find even one differing axis. Retrieval results support metadata-level judgments only (who did what, where); never quote numbers or method details from search snippets. And "not found" does not prove novelty: report it as "no directly overlapping work retrieved under these keywords". With no retrieval capability, label the novelty judgment "unverified; literature check required". **A data-refuted core mechanism is an automatic CRITICAL.** If the user's own reported data or attachments already show the core mechanism matched or beaten by a baseline or simple control, lock the verdict to Reject and Pivot; write no defense and invent no optimistic threshold. See: references/fatal-flaws.md, the data-refuted section, for the exact boundary between "refuted by data" and "merely untested". **Short-circuit rule.** If any fatal flaw is tagged CRITICAL in the severity taxonomy (single-handedly causes rejection, unfixable within the lifecycle), stop here and emit the verdict directly: - Verdict: Reject and Pivot. - Output sections 1 (First impression), 2 (Fatal flaws with the CRITICAL flaw), and 7 (Verdict with the flaw-driven rationale) only. - Do **not** run the five-dimension scoring, paradigm-shift probe, feasibility check, or integrity gate. Those would be decoration on a rejection. If no CRITICAL flaw is found, continue to Step 3. ### Step 3: Lifecycle and capability matching See: references/lifecycle-capability-matching.md for the six-category lifecycle matrix, capability self-assessment rubric, and mismatch recovery strategies. Map the idea onto one of six categories (Application, Foundational Theory, Cross-Disciplinary, Frontier Exploration, Data-Intensive,
From zms618/no-heartburn-academic-skills, CC-BY-4.0.
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Signals
- Stars
- 0
- Forks
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- Open issues
- 0
- Last commit (this folder)
- Oct 13, 2026 (17 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- CC-BY-4.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Runs a pre-submission review of a technical paper across five dimensions: macro logic, writing details, English grammar, LaTeX formatting, and figure quality.
SkillAFreshness: AClaude Code +9 - 0.570score
rebuttal-guidance
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Provides actionable peer-review rebuttal guidance (not full rebuttal prose) using conditional persuasion P(Z|X,Y): match reviewer mindset X, recommend…
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benchmark-paper-template
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Reconstructs reference images into high-fidelity, editable Draw.io files with rendered previews: native Draw.io elements carry text and structure, SVG covers…
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figure-designer
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Advises on the design of the three core figures in a technical paper: the Motivated Example (Figure 1), the Solution Overview (Methodology), and the…
SkillAFreshness: AClaude Code +9 - 0.565score
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idea-evaluator skill. Agent Mart. https://agentmart.dev/skills/zms618-idea-evaluator (last updated 2026-10-24)