Agent skill

Dr Set Goal

by AHepi in AHepi/DeepReason

Turn a vague DeepReason problem statement into one bounded, falsifiable tranche goal (GOAL.md).

MITAuto-check passed

Install Dr Set Goal

skills CLI
$ npx skills add AHepi/DeepReason --skill dr-set-goal -a claude-code

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

GitHub CLI
$ gh skill install AHepi/DeepReason dr-set-goal --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/AHepi/DeepReason.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/dr-set-goal .claude/skills/dr-set-goal && 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
dr-set-goal
GitHub stars
141
Token cost
~601 tokens
SKILL.md length
294 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
MIT

At a glance

Turn a vague DeepReason problem statement into one bounded, falsifiable tranche goal (GOAL.md).

  • Works in 5 steps: Restate the problem as ONE observable,… → Classify it → Write the success criterion as a command… → …
  • SKILL.md covers Procedure, GOAL.md template (fill every… and Exit criteria
  • Calls pytest

What it does

Dr Set Goal is an agent skill from AHepi/DeepReason. Turn a vague DeepReason problem statement into one bounded, falsifiable tranche goal (GOAL.md). Use at the start of every tranche, before any diagnosis or code reading.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

Example prompts

  • “/dr-set-goal”

Workflow steps

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

  1. Restate the problem as ONE observable, checkable statement about the
  2. Classify it
  3. Write the success criterion as a command + expected output. It must
  4. Write the boundary list: files/subsystems presumed in scope (max 3),
  5. Size check: if you cannot imagine the fix under ~150 changed lines

What it can do on your machine

Read from SKILL.md and the folder at commit 9607fba. 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

    Shell commands in SKILL.md call:

    • pytest

    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

Dr Set Goal loads about 601 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 294 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~601

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 AHepi/DeepReason at commit 9607fba, republished under its MIT licence (© AHepi). 294 words, ~601 tokens.

Download SKILL.mdSave it as .claude/skills/dr-set-goal/SKILL.md (or your agent's skills folder).
name
dr-set-goal
description
Turn a vague DeepReason problem statement into one bounded, falsifiable tranche goal (GOAL.md). Use at the start of every tranche, before any diagnosis or code reading.

Set the tranche goal

Input: a problem statement (from the operator, a failed run, RESULTS.md, or PARKED.md). Output: exactly one GOAL.md. Nothing else. You do not read source code in this phase beyond confirming a file exists.

Procedure

  1. Restate the problem as ONE observable, checkable statement about the record or the tests. Good: "run-9175f0ec terminated budget_denied on all 8 question turns with zero provider calls." Bad: "the scheduler has issues."
  2. Classify it:
    • defect — record/tests show behavior contradicting a documented guarantee (spec §, docstring, RESULTS.md claim).
    • regression-risk — behavior is undocumented but a change would alter it.
    • capability-gap — nothing is broken; something is missing. Only defect tranches may proceed to implementation without explicit operator approval; the other two stop after FIX.md (proposal) and report.
  3. Write the success criterion as a command + expected output. It must be decidable by a machine, e.g.:
    • "verify_root(<root>) returns zero conjecture-context violations" or
    • "pytest tests/test_x.py::test_y passes and the full gate stays at 0 failed."
  4. Write the boundary list: files/subsystems presumed in scope (max 3), and an explicit NOT-IN-SCOPE line for the nearest tempting neighbor.
  5. Size check: if you cannot imagine the fix under ~150 changed lines and one commit, split the problem and pick the FIRST piece only; put the rest in PARKED.md.

GOAL.md template (fill every field; delete nothing)

# Goal: <one line>
Class: defect | regression-risk | capability-gap
Observed: <one sentence, with the record/test evidence pointer>
Success criterion (machine-decidable):
    <command>
    <expected output>
In scope: <max 3 paths/subsystems>
NOT in scope: <the nearest tempting thing you will not touch>
Budget: <=150 changed lines, 1 commit, <n> hours
Stop conditions inherited from orchestrator: yes

Exit criteria

  • GOAL.md exists in the tranche directory, committed and pushed.
  • You have NOT proposed a cause, a fix, or read implementation code.
  • Return to the orchestrator.

© AHepi, 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 .claude/skills/dr-set-goal of AHepi/DeepReason.

Open the folder on GitHubat commit 9607fba

Compare with similar skills

Dr Set Goal 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.

Dr Set Goal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dr Set Goal this skillAHepi/DeepReason141—~601Automated safety check: PassMIT
User-Centered Problem Statementdeanpeters/Product-Manager-Skills7.2k1 repos~2.7kAutomated safety check: PassCustom licence
Goalscodewhale-hq/Codewhale41k—~273Automated safety check: PassMIT
Is This A Problemanthropics/claude-for-legal9.6k2 repos~2.3kAutomated safety check: PassApache-2.0
Agent Goal Plannerruvnet/ruflo74k2 repos~842Automated safety check: PassMIT
Goal Planruvnet/ruflo74k—~807Automated safety check: NotesMIT

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Questions about Dr Set Goal

What does Dr Set Goal do?

Turn a vague DeepReason problem statement into one bounded, falsifiable tranche goal (GOAL.md). Dr Set Goal is an agent skill from AHepi/DeepReason.md).

How do I install Dr Set Goal in Claude Code?

Run `npx skills add AHepi/DeepReason --skill dr-set-goal -a claude-code`. Or copy the skill folder (.claude/skills/dr-set-goal in AHepi/DeepReason) into .claude/skills/dr-set-goal in your project. Claude Code loads it when a task matches its description.

How do I install Dr Set Goal in Codex?

Run `npx skills add AHepi/DeepReason --skill dr-set-goal -a codex`. Or copy the skill folder (.claude/skills/dr-set-goal in AHepi/DeepReason) into .agents/skills/dr-set-goal in your project. Codex loads it when a task matches its description.

Can I use Dr Set Goal 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 AHepi/DeepReason --skill dr-set-goal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dr-set-goal, .gemini/skills/dr-set-goal, .github/skills/dr-set-goal and .opencode/skills/dr-set-goal in your project.

What does Dr Set Goal need to run?

Going by SKILL.md and its folder, Dr Set Goal needs the command-line tools its instructions call (pytest).

Does Dr Set Goal 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 Dr Set Goal 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 Dr Set Goal use?

Dr Set Goal 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 Dr Set Goal use?

About 601 tokens (SKILL.md is roughly 2.4k 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 Dr Set Goal?

Skills that share tags, products or a category with Dr Set Goal: User-Centered Problem Statement (deanpeters/Product-Manager-Skills, 7.2k stars), Goals (codewhale-hq/Codewhale, 41k stars), Is This A Problem (anthropics/claude-for-legal, 9.6k stars) and Agent Goal Planner (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dr Set Goal?

AHepi (a GitHub user) maintains it in AHepi/DeepReason, which has 141 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on September 10, 2026.

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