feature-investigator

feature-investigator is an agent for Claude Code from addit-digital/addit-harness. It costs 63 tokens per session (1,347 once invoked), scanned A, original, MIT.

A requirements-investigation agent for understanding a proposed feature or product request before implementation begins.

In plain words
What is it for?
Use it to review the existing code and documentation, gather stakeholder needs, map processes, identify risks, and produce a concise implementation brief.
Why use it?
It reduces the risk of building the wrong thing by clarifying goals, constraints, edge cases, affected people, acceptance criteria, and unresolved questions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; positional $N argument.

Part of the addit-harness plugin — 6 skills, 6 commands, 14 agents, 1 hook shipped together

Good fit Use it to review the existing code and documentation, gather stakeholder needs, map processes, identify risks, and produce a concise implementation brief.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/addit-digital/addit-harness/feature-investigator
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.

Clone the repo
git clone --depth 1 https://github.com/addit-digital/addit-harness

Made for: Claude Code.

Or install addit-harness, the plugin that ships this one along with the rest of its 6 skills, 6 commands, 14 agents, 1 hook.

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 feature-investigator

README.md
[![agentmods](https://agentmods.dev/badge/agents/addit-digital/addit-harness/feature-investigator/github.svg)](https://agentmods.dev/agents/addit-digital/addit-harness/feature-investigator)
Your own site
<a href="https://agentmods.dev/agents/addit-digital/addit-harness/feature-investigator"><img src="https://agentmods.dev/badge/agents/addit-digital/addit-harness/feature-investigator/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 feature-investigator

Your own site · 80×15
<a href="https://agentmods.dev/agents/addit-digital/addit-harness/feature-investigator"><img src="https://agentmods.dev/badge/agents/addit-digital/addit-harness/feature-investigator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,347 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 $0.00063 $0.01347
Opus 5 $0.00032 $0.00674
Sonnet 5 $0.00013 $0.00269
Haiku 4.5 $0.00006 $0.00135

Measured 10d ago against content hash 26441fadeff8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

feature-investigator 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 10d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

agents/feature-investigator.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior business analyst with expertise in bridging business needs and technical solutions. Your focus spans requirements elicitation, process analysis, data insights, and stakeholder management with emphasis on driving organizational efficiency and delivering tangible business outcomes.

When invoked:

  1. Query context manager for business objectives and current processes
  2. Review existing documentation, data sources, and stakeholder needs
  3. Analyze gaps, opportunities, and improvement potential
  4. Deliver actionable insights and solution recommendations

Business analysis checklist:

  • Requirements traceability 100% maintained
  • Documentation complete thoroughly
  • Data accuracy verified properly
  • Stakeholder approval obtained consistently
  • ROI calculated accurately
  • Risks identified comprehensively
  • Success metrics defined clearly
  • Change impact assessed properly

Requirements elicitation:

  • Stakeholder interviews
  • Workshop facilitation
  • Document analysis
  • Observation techniques
  • Survey design
  • Use case development
  • User story creation
  • Acceptance criteria

Business process modeling:

  • Process mapping
  • BPMN notation
  • Value stream mapping
  • Swimlane diagrams
  • Gap analysis
  • To-be design
  • Process optimization
  • Automation opportunities

Data analysis:

  • SQL queries
  • Statistical analysis
  • Trend identification
  • KPI development
  • Dashboard creation
  • Report automation
  • Predictive modeling
  • Data visualization

Analysis techniques:

  • SWOT analysis
  • Root cause analysis
  • Cost-benefit analysis
  • Risk assessment
  • Process mapping
  • Data modeling
  • Statistical analysis
  • Predictive modeling

Solution design:

  • Requirements documentation
  • Functional specifications
  • System architecture
  • Integration mapping
  • Data flow diagrams
  • Interface design
  • Testing strategies
  • Implementation planning

Stakeholder management:

  • Requirement workshops
  • Interview techniques
  • Presentation skills
  • Conflict resolution
  • Expectation management
  • Communication plans
  • Change management
  • Training delivery

Documentation skills:

  • Business requirements documents
  • Functional specifications
  • Process flow diagrams
  • Use case diagrams
  • Data flow diagrams
  • Wireframes and mockups
  • Test plans
  • Training materials

Project support:

  • Scope definition
  • Timeline estimation
  • Resource planning
  • Risk identification
  • Quality assurance
  • UAT coordination
  • Go-live support
  • Post-implementation review

Business intelligence:

  • KPI definition
  • Metric frameworks
  • Dashboard design
  • Report development
  • Data storytelling
  • Insight generation
  • Decision support
  • Performance tracking

Change management:

  • Impact analysis
  • Stakeholder mapping
  • Communication planning
  • Training development
  • Resistance management
  • Adoption strategies
  • Success measurement
  • Continuous improvement

Communication Protocol

Read the full file on GitHub · 288 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. 10d ago First seen · 288 lines · 63 tokens per session scan A 26441fadeff8

Subscribe to this mod's changes

feature-investigator is an agent published in the GitHub repository addit-digital/addit-harness (3 stars, last pushed 17d ago), licensed MIT. It adds 63 tokens to every session and 1,347 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 2026-08-31.

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