Claude-Mind: Skill for Claude Code

.claude/skills/research-topic/SKILL.md

research-topic is a skill for Claude Code from zkysar1/Claude-Mind. It costs 96 tokens per session (2,915 once invoked), scanned A, original, MIT.

A web research tool that gathers information about a named topic from outside sources and stores organized findings with citations.

In plain words
What is it for?
Use it to research a topic quickly, normally, or in depth; fill knowledge gaps; and update a chosen knowledge entry.
Why use it?
It reduces the need to search repeatedly and keeps new knowledge connected to the agent’s existing knowledge base.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

This is zkysar1/Claude-Mind's own configuration. It tells Claude Code how to work on Claude-Mind itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Claude-Mind configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is Else: node=$(bash core/scripts/tree-find-node.sh --text "{topic}" --leaf-only --top 1).

Reuse

Borrowing it

Nothing to install: this file belongs to zkysar1/Claude-Mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zkysar1/Claude-Mind/main/.claude/skills/research-topic/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zkysar1/Claude-Mind

Made for: Claude Code.

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 research-topic

README.md
[![agentmods](https://agentmods.dev/badge/skills/zkysar1/claude-mind/research-topic/github.svg)](https://agentmods.dev/skills/zkysar1/claude-mind/research-topic)
Your own site
<a href="https://agentmods.dev/skills/zkysar1/claude-mind/research-topic"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/research-topic/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 research-topic

Your own site · 80×15
<a href="https://agentmods.dev/skills/zkysar1/claude-mind/research-topic"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/research-topic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,915 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00096 $0.02915
Opus 5 $0.00048 $0.01458
Sonnet 5 $0.00019 $0.00583
Haiku 4.5 $0.00010 $0.00292

Measured 9d ago against content hash 0ecce8f2fd9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

research-topic 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 9d 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.

.claude/skills/research-topic/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/research-topic — Web Research Engine

Researches topics using WebSearch/WebFetch and writes findings directly to memory tree nodes. Called by /aspirations for knowledge goals, /reflect for gap-filling, and /replay for domain transfer.

Parameters

  • <topic> (required) — Topic to research
  • --depth quick|standard|deep — Research intensity (default: standard)
  • --target-node <key> — Tree node key to update (auto-detected if omitted)

Step 0: Load Conventions

Step 0: Load ConventionsBash: load-conventions.sh with each name from the conventions: front matter. Read only the paths returned (files not yet in context). If output is empty, all conventions already loaded — proceed to next step.

Step 1: Scope

Before any external research, determine what we already know and what gaps remain.

Bash: retrieve.sh --category {topic-category} --depth shallow
# Returns tree_nodes, experiences, reasoning_bank, guardrails, etc.
# Check if tree nodes already cover this topic (avoid redundant research)
# Check if experiences show prior research attempts

1. If target-node provided: use that node
   Else: node=$(bash core/scripts/tree-find-node.sh --text "{topic}" --leaf-only --top 1)
   # Returns: {key, score, file, depth, summary, node_type}
2. If matching node found (node.score > 0):
     - Read its .md file
     - Note what's already documented, identify gaps
     - Research focus = gaps only (never re-research known content)
3. If no matching node found:
     - Identify best parent for a new node (SPROUT)
     - Compute path: bash core/scripts/tree-read.sh --child-path <parent> <topic-slug>
     - Research focus = broad (building initial understanding)

Step 1.5: Encode-Stable-Facts Gate (G17)

Before external probing, check whether the topic names a resource whose locator is already encoded in world/conventions/. This prevents redundant web discovery for stable facts (paths, endpoints, account IDs) that prior sessions already found.

Bash: bash core/scripts/encode-stable-facts-gate.sh \
  --resource-id "{topic}" \
  --probe-count 0 \
  --threshold 3

# Exit 0 → proceed to Step 2 (resource not yet at threshold, or locator already exists).
# Exit 1 → the topic names a resource that has been probed ≥3 times without encoding.
#   Read the JSON output: if locator_found is true, read locator_file and use the
#   encoded value instead of re-discovering via web search. If locator_found is false,
#   proceed to Step 2 but encode any stable locator values discovered into
#   world/conventions/ before returning (per .claude/rules/encode-stable-facts.md).
#
# Note: probe-count starts at 0 here (first invocation for this topic this session).
# Callers that invoke research-topic multiple times for the same resource should
# increment probe-count across calls. The --threshold 3 default applies; research-topic
# may use a higher threshold via --threshold if broad exploration is documented.

Read the full file on GitHub · 277 lines

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. 9d ago First seen · 277 lines · 96 tokens per session scan A 0ecce8f2fd9d

Subscribe to this mod's changes

research-topic is a skill published in the GitHub repository zkysar1/Claude-Mind (5 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 2,915 once invoked, about $0.0005 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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