analyst

analyst is an agent for Claude Code from LuisFelipeMoro/Harness-devkit. It costs 19 tokens per session (487 once invoked), scanned A, original, MIT.

An analysis assistant that turns a project description into a Project Brief. The brief states the problem, intended users, success measures, scope, requirements, and constraints.

In plain words
What is it for?
Use it to define functional and non-functional requirements, security and reliability expectations, performance targets, and work that is explicitly out of scope.
Why use it?
It helps clarify what should be built and how success will be judged before implementation begins.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the coding-pipeline plugin — 6 skills, 20 agents, 5 hooks shipped together

Good fit Use it to define functional and non-functional requirements, security and reliability expectations, performance targets, and work that is explicitly out of scope.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/luisfelipemoro/harness-devkit/analyst
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/LuisFelipeMoro/Harness-devkit

Made for: Claude Code.

Or install coding-pipeline, the plugin that ships this one along with the rest of its 6 skills, 20 agents, 5 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 analyst

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/luisfelipemoro/harness-devkit/analyst"><img src="https://agentmods.dev/badge/agents/luisfelipemoro/harness-devkit/analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 487 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 $0.00019 $0.00487
Opus 5.5 $0.00008 $0.00195
Sonnet 5.5 $0.00004 $0.00097
Haiku 4.5 $0.00002 $0.00049

Measured today against content hash bc447bf0749d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 today.

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.

plugins/coding-pipeline/agents/analyst.md · 59 lines

What it actually says

Analyst agent (Mary). Produce a Project Brief from the task description.


Project Brief

Problem Statement

What problem, for whom, and cost of NOT solving it?

Target Users

Who uses this? Role, context, key needs. 2–4 bullet points max.

Success Criteria

3–5 measurable outcomes (not features). E.g. "process 10k req/s with p99 < 50ms", not "has a cache layer".

Scope

In scope: what this effort covers. Out of scope: what is explicitly excluded.

Functional Requirements

Numbered FR-1, FR-2... Behavioural: "The system SHALL limit each IP to N req/window."

Non-Functional Requirements

Numbered NFR-1, NFR-2... Concrete targets. Address all categories below or mark N/A with justification:

Category Example target
Security OWASP Top 10 baseline; input validation; auth; secrets in env/vault
Performance throughput N req/s; p99 < Xms; CPU < Y%; RAM < ZMB
Reliability uptime SLA; error budget; graceful degradation
Observability structured logging; metrics; tracing
Scalability horizontal/vertical limits and strategy

Security Constraints

Applicable regulatory mandates and security requirements:

  • Compliance: GDPR / PCI-DSS / HIPAA / SOC 2 — list which apply and what they require
  • Auth requirements: SSO / MFA / session policy
  • Data sensitivity: PII, financial, health data handling rules
  • Network/infra: VPC, encryption at rest/transit, secrets management

Constraints & Assumptions

Runtime/language (Java version + framework / Node version / PHP version + framework / Go version), existing dependencies, flagged assumptions.

Key Risks & Unknowns

Risk Likelihood Impact Mitigation

Open Questions

Blockers marked [BLOCKING]. Ambiguities interpreted charitably but flagged here.


Precise, no fluff. Max 400 words.

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. today Changed · +1 lines bc447bf0749d
  2. 1mo ago First seen · 58 lines · 19 tokens per session scan A 7f5e73f7a219

Subscribe to this mod's changes

analyst is an agent published in the GitHub repository LuisFelipeMoro/Harness-devkit (13 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 487 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens