Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsBlogPro
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges
  • Chrome Extension
  • Skill Manager

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Modelchk

ASecurity

Size a task's run before spending it: the cheapest sufficient capability tier (fast, standard, frontier) and the reasoning effort within it, on a neutral scale that binds to whatever levels the model exposes. Use when work seems over- or under-powered, costly, ambiguous, or high-risk, or asks which model class and how much thinking is enough.

7 stars
0 votes
0 copies
0 views
Added 9/20/2026
ai-agentsgosecuritydocumentation

Security Analysis

A100/100

Scanned 9/20/2026

$npx -y skills add imMamdouhaboammar/get-fable --skill modelchk --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Modelchk?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Modelchk
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/immamdouhaboammar-modelchk/badge)](https://www.skillsdirectory.com/skills/immamdouhaboammar-modelchk)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
Files
SKILL.md
---
name: modelchk
description: "Size a task's run before spending it: the cheapest sufficient capability tier (fast, standard, frontier) and the reasoning effort within it, on a neutral scale that binds to whatever levels the model exposes. Use when work seems over- or under-powered, costly, ambiguous, or high-risk, or asks which model class and how much thinking is enough."
---

Size the run before you spend it: how strong a model, and how hard it should think.

`modelchk` is read-only and advisory. From one assessment it sizes the two dials that set a model's per-run cognitive spend — capability tier and reasoning effort. It does not choose, route, switch, pin, spawn, set, or require any concrete model or level.

## Goal

From a single risk-and-complexity read, recommend two coordinates.

**Capability tier** — the cheapest sufficient class of mind:

- `fast` for local, mechanical, reversible work with cheap, complete verification.
- `standard` for ordinary repo-grounded reasoning, multi-step drafting, normal coding, and conventional documentation or skill work.
- `frontier` for architecture, high ambiguity, safety/security/privacy/data-loss risk, release-critical review, cross-domain scope, or work where one wrong assumption wastes a large run.

**Reasoning effort** — how hard that mind should deliberate. `modelchk` recommends the effort *intent*; resolving it to the active model's actual level — like choosing the model itself — is the executor's step, not this skill's. From least to most deliberation:

- `glance` — minimal deliberation; take the direct path. (Resolves to the model's floor.)
- `measured` — ordinary, everyday deliberation. (The model's default, or the middle of its ladder when no default is named.)
- `thorough` — deliberate extra: work the alternatives and check the assumptions. (Above the everyday setting, short of the top.)
- `exhaustive` — maximal deliberation; exhaust the search and re-check the work. (The model's ceiling.)

The two axes are orthogonal — a bounded-but-fiddly task can be `fast` + `thorough`, a quick expert call `frontier` + `glance` — yet in most work they move together, parting only when a cheap task needs hard thinking or a strong model needs only a quick call. Effort buys deliberation, never capability, and more of it is not more correct.

## Workflow

1. Frame the exact work unit being sized: task, artifact, review, rerun, or plan.
2. Score risk and complexity once — this single read feeds both coordinates:
   - file, module, or ownership boundary crossing;
   - reversibility and blast radius;
   - safety, security, privacy, publishing, or data-loss risk;
   - novelty, ambiguity, and long-context synthesis load;
   - need for external research, adversarial review, or careful release sequencing;
   - cost of a wrong answer.
3. Read off the capability tier: the cheapest class whose ceiling covers the work's judgment and risk.
4. Read off the reasoning effort: default it to track the tier (`fast`→`glance`, `standard`→`measured`, `frontier`→`thorough`, reserving `exhaustive` for the hardest, highest-stakes work), then deviate where deliberation-hunger and capability-need part — raise it for ambiguity, long multi-step reasoning, or adversarial self-check on an otherwise cheap task; lower it for a bounded task under a strong model.
5. Report both coordinates, one shared rationale, `move up if...` and `move down if...` triggers for each dial, and the proof surface — the verification the work still needs regardless of tier or effort.
6. Stop.

## Rules

- Size the run's cognitive spend, nothing else. The two dials are *which mind* (capability tier) and *how hard it thinks* (reasoning effort). Orchestration dials — context budget, fan-out width, tool-permission scope — are a different reflex and stay out; sharing this one risk read does not pull them in.
- Neutral language only: tier is `fast`/`standard`/`frontier`; effort is `glance`/`measured`/`thorough`/`exhaustive`, each an intent defined by a position on the active model's ladder — floor, default, above-default, ceiling — never a named vendor level.
- When resolved, effort binds to positions, not levels: a model lacking an interior level collapses the rung to the nearest it offers, so the intent always maps to a real setting and never resolves out of range.
- The default is the cheapest sufficient tier and the effort that meets the work, not the strongest of either.
- Effort is deliberation budget, not capability and not answer length. Never raise it to buy capability — that is the tier's job.
- No routing authority. This skill recommends two coordinates; the user, harness, or executor decides what runs and sets the actual level.
- Do not name concrete model products, vendors, or versions in durable mechanism text.
- Risk beats size: a one-file high-risk change can want `frontier`; a broad mechanical rename can stay `fast` + `thorough` when verification is complete.
- Verification is separate. A stronger tier or a higher effort never replaces tests, review, command output, manual QA, or other proof surface.
- Do not execute the task being sized, change configuration, call another model, or alter provider settings.
- Do not override an explicit user tier or effort choice. Report the mismatch if one is visible.

## Output

```text
recommended_tier: fast|standard|frontier
recommended_effort: glance|measured|thorough|exhaustive
rationale: <one sentence, covering both dials>
move_up_if: <signals that would justify a stronger tier or higher effort>
move_down_if: <signals that would justify a cheaper tier or lower effort>
proof_surface: <verification still required, independent of tier and effort>
```

## Verification

Before finishing, confirm the report:

- names exactly one tier (`fast`/`standard`/`frontier`) and one effort (`glance`/`measured`/`thorough`/`exhaustive`);
- states the cheapest sufficient tier and the effort that meets the work, not the strongest of either;
- gives move-up and move-down triggers covering both dials;
- names the proof surface;
- makes no routing, switching, provider, vendor, product, version, or concrete-level claim, and names no orchestration dial beyond the two cognitive-spend ones.

Attribution

imMamdouhaboammarimMamdouhaboammar
View sourceSee grades on GitHubMore from imMamdouhaboammar →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Terse caveman voice: answer first, fluff gone, every technical fact kept. Use for /caveman, "caveman mode", "talk like caveman", "be brief", "less tokens". Stays on until "stop caveman" or "normal mode".

1100021 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

698621 votes

Writing Skills

Create and manage Claude Code skills in HASH repository following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns), UserPromptSubmit hook, and the 500-line rule. Includes validation and debugging with SKILL_DEBUG. Examples include rust-error-stack, cargo-dep...

3931 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3421 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Amp, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Grok Build, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

741 votes
View all in ai-agents →