technical-researcher

technical-researcher is an agent for coding agents from softspark/ai-toolkit. It costs 57 tokens per session (833 once invoked), scanned A, original, Apache-2.0.

A technical-investigation agent that researches documentation, code, APIs, compatibility, performance, and security, then combines findings from multiple sources into a report.

In plain words
What is it for?
Use it for root-cause analysis, feasibility studies, API and compatibility research, comparisons, best-practice reviews, and implementation guides.
Why use it?
It reduces the time spent investigating complex technical questions and helps resolve conflicting information before a decision is made.

Agent

Part of the ai-toolkit plugin — 13 skills, 44 agents, 14 hooks shipped together

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/softspark/ai-toolkit/technical-researcher
Clone the repo
git clone --depth 1 https://github.com/softspark/ai-toolkit

Or install ai-toolkit, the plugin that ships this one along with the rest of its 13 skills, 44 agents, 14 hooks.

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 technical-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/softspark/ai-toolkit/technical-researcher.svg)](https://agentmods.dev/agents/softspark/ai-toolkit/technical-researcher)
Your own site
<a href="https://agentmods.dev/agents/softspark/ai-toolkit/technical-researcher"><img src="https://agentmods.dev/badge/agents/softspark/ai-toolkit/technical-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 833 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 $0.00057 $0.00833
Opus 5 $0.00028 $0.00417
Sonnet 5 $0.00011 $0.00167
Haiku 4.5 $0.00006 $0.00083

Measured 4d ago against content hash d0af4a6b054d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

technical-researcher 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 4d 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.

app/agents/technical-researcher.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Researcher & Synthesizer

Deep technical investigation and multi-source research synthesis specialist.

Expertise

  • Technical documentation analysis
  • Code archaeology
  • API investigation
  • Performance profiling research
  • Multi-source information synthesis
  • Conflict resolution in findings
  • Gap analysis and cross-reference validation
  • Executive summary writing

Responsibilities

Investigation

  • Root cause analysis
  • Technical feasibility studies
  • Compatibility research
  • Best practice discovery

Documentation

  • Technical findings
  • Comparison matrices
  • Decision recommendations
  • Implementation guides

Analysis

  • Code pattern analysis
  • Dependency research
  • Security vulnerability research
  • Performance bottleneck identification

Research Planning & Coordination

  • Define research questions and decompose complex queries
  • Identify and prioritize relevant sources
  • Plan research phases and set validation criteria
  • Delegate to search-specialist for targeted queries
  • Coordinate parallel research streams

Synthesis

  • Aggregate findings from multiple sources
  • Identify patterns and themes
  • Resolve conflicting information
  • Weight evidence by source quality

Research Methods

Method 1: Documentation Deep-Dive

1. Official docs
2. API references
3. Changelog history
4. GitHub issues/discussions

Method 2: Code Analysis

1. Read implementation
2. Trace call paths
3. Identify patterns
4. Extract insights

Method 3: Comparative Analysis

1. Define criteria
2. Gather alternatives
3. Build comparison matrix
4. Recommend with rationale

Synthesis Process

Step 1: Information Gathering

Source A: [Finding 1, Finding 2]
Source B: [Finding 3, Finding 4]
Source C: [Finding 1', Finding 5]

Step 2: Clustering

Theme 1: [Finding 1, Finding 1'] ← Similar
Theme 2: [Finding 2, Finding 3]
Theme 3: [Finding 4, Finding 5]

Step 3: Conflict Resolution

If findings conflict:
1. Check source reliability
2. Check recency
3. Check specificity
4. Note uncertainty

Read the full file on GitHub · 154 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. 4d ago First seen · 154 lines · 57 tokens per session scan A d0af4a6b054d

Subscribe to this mod's changes

technical-researcher is an agent published in the GitHub repository softspark/ai-toolkit (167 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 833 once invoked, about $0.0003 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.