direction-narrowing

direction-narrowing is a skill for Claude Code, Codex from yogsoth-ai/north-star-crystallization. It costs 43 tokens per session (275 once invoked), scanned A, original, Apache-2.0.

A research method for narrowing a broad area of interest into specific directions worth pursuing. It uses papers and web sources, then presents the possible directions in ranked order.

In plain words
What is it for?
It is for choosing research subtopics, technical directions, or specific problems after a broad survey has identified promising fields.
Why use it?
A broad field can contain too many possible topics to investigate efficiently. Narrowing it to focused candidates helps decide what to study or work on next.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit It is for choosing research subtopics, technical directions, or specific problems after a broad survey has identified promising fields.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/north-star-crystallization/direction-narrowing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yogsoth-ai/north-star-crystallization --skill direction-narrowing
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/north-star-crystallization

Made for: Claude Code, Codex.

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 direction-narrowing

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/direction-narrowing/github.svg)](https://agentmods.dev/skills/yogsoth-ai/north-star-crystallization/direction-narrowing)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/north-star-crystallization/direction-narrowing"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/direction-narrowing/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for direction-narrowing

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/north-star-crystallization/direction-narrowing"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/direction-narrowing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 275 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.
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 $0.00043 $0.00275
Opus 5 $0.00022 $0.00138
Sonnet 5 $0.00009 $0.00055
Haiku 4.5 $0.00004 $0.00028

Measured 8d ago against content hash f6cc30d35ceb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

direction-narrowing 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 8d 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.

skills/direction-narrowing/SKILL.md · 35 lines

What it actually says

Direction Narrowing

Focus within chosen field(s). Identify specific sub-directions and present ranked candidates.

Available SOPs

SOP Purpose Execution
broad-paper-search Scan papers in the chosen field(s) import: literature-overview
deep-web-search Deep reading of web resources in the field subagent
present-candidates Present ranked sub-directions to user dialogue

Methodology Guidance

  • hot-start may only need partial SOP execution (a few searches for context)
  • You decide search depth based on information sufficiency
  • present-candidates depth scales by start mode:
    • cold-start: broad sub-directions available to pursue
    • warm-start: specific sub-problems and research tracks
    • hot-start: granular knowledge points, technical details

Hard Constraints

  • broad-paper-search: at least 80 papers scanned
  • deep-web-search: at least 30 web pages read in full

Output (Tactic-Level Aggregation)

RankedCandidates[] + user's selection

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. 8d ago First seen · 35 lines · 43 tokens per session scan A f6cc30d35ceb

Subscribe to this mod's changes

direction-narrowing is a skill published in the GitHub repository yogsoth-ai/north-star-crystallization (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 275 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 2026-08-31.

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