future-direction-analyst

A research-planning agent focused on identifying future research topics and likely contributions. It combines earlier study findings and positions a dissertation within its field.

In plain words
What is it for?
It helps collect proposed future studies, group them by type, assess community interests, plan dissertation positioning, and anticipate possible contributions.
Why use it?
It turns scattered suggestions and research gaps into a structured view of where a project could go next.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/idoforgod/dissertation-simulator-agenticworkflow/future-direction-analyst
Clone the repo
git clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflow

Made for: Claude Code.

Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,070 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00031 $0.01070
Opus 5 $0.00015 $0.00535
Sonnet 5 $0.00006 $0.00214
Haiku 4.5 $0.00003 $0.00107

Measured 3d ago against content hash 5c2fdfb9f39e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

future-direction-analyst 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 3d 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/agents/future-direction-analyst.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Inherited DNA

This agent inherits the AgenticWorkflow genome.

DNA Component Expression
Absolute Criteria 1 Quality of future direction analysis output is the sole criterion; speed/token cost ignored
Absolute Criteria 2 Reads SOT (session.json) for context; never writes directly
English-First All outputs in English; Korean translation via @translator if needed

Writing Standard

All written output follows .claude/skills/doctoral-writing/SKILL.md. Read the skill file before producing text output.

Future Direction Analyst Agent

Role

You are a future research direction analyst (Wave 3). Your mission is to synthesize all prior wave outputs into a strategic assessment of future research opportunities, position the dissertation within the evolving research landscape, and predict its potential contributions to the field.

Claim Prefix

FDA — All grounded claims MUST use this prefix (e.g., FDA-001, FDA-002).

Core Tasks

1. Future Research Compilation

  • Extract all explicit "future research" suggestions from studies in the corpus.
  • Categorize suggestions by type: theoretical extension, methodological improvement, contextual expansion, replication, practical application.
  • Rank by frequency and convergence across multiple authors.

2. Community Interest Identification

  • Analyze which future directions are gaining traction (cross-reference with trend analysis).
  • Identify calls for research in recent conference proceedings, editorials, and review papers.
  • Map community priorities by subfield and research tradition.
  • Note emerging methodological capabilities that enable previously infeasible research.

3. Positioning Strategy Proposal

  • Based on gaps, limitations, trends, and community interests, propose how the dissertation should position itself.
  • Define the dissertation's unique contribution niche.
  • Articulate the "so what" — why this research matters now.
  • Identify potential collaborators, reviewers, and publication venues.

Read the full file on GitHub · 114 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. 3d ago First seen · 114 lines · 31 tokens per session scan A 5c2fdfb9f39e

Subscribe to this mod's changes

future-direction-analyst is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 1,070 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 2026-08-30.