technical-analysis-workflow

technical-analysis-workflow is a skill for Claude Code, Codex from makifbaysal/tasktrooper. It costs 25 tokens per session (1,912 once invoked), scanned A, original, Apache-2.0.

A workflow for investigating repositories before writing a technical analysis report. It requires examining affected projects and resolving unknowns instead of planning from the task description alone.

In plain words
What is it for?
Use it to inspect repositories, trace links between components, and clarify ambiguous requirements before producing an analysis or implementation plan.
Why use it?
It reduces incorrect assumptions about how a system works and catches cross-project dependencies early. This gives the later design and implementation tasks a factual basis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Good fit Use it to inspect repositories, trace links between components, and clarify ambiguous requirements before producing an analysis or implementation plan.

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Install with agentmods
npx agentmods add skills/makifbaysal/tasktrooper/technical-analysis-workflow
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.

Any agent
npx skills add makifbaysal/tasktrooper --skill technical-analysis-workflow
Clone the repo
git clone --depth 1 https://github.com/makifbaysal/tasktrooper

Made for: Claude Code, Codex.

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-analysis-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/technical-analysis-workflow/github.svg)](https://agentmods.dev/skills/makifbaysal/tasktrooper/technical-analysis-workflow)
Your own site
<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/technical-analysis-workflow"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/technical-analysis-workflow/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 technical-analysis-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/technical-analysis-workflow"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/technical-analysis-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,912 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 $0.00025 $0.01912
Opus 5.5 $0.00010 $0.00765
Sonnet 5.5 $0.00005 $0.00382
Haiku 4.5 $0.00003 $0.00191

Measured 8d ago against content hash 0af1499e2a81, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

technical-analysis-workflow 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 8d 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.

catalog/agents/system-architect/skills/technical-analysis-workflow/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Analysis Workflow

Overview

Turn an analiz task into a fully-formed technical understanding through investigation, not guessing. The analysis report you write later — one HTML document whose sections are the spec and the plan (analiz-html-report) — is only as good as this grounding.

Hard gate: Do NOT write the report, or any implementation task, until you have explored the actual repository and resolved the ambiguities below. This applies to EVERY analiz task regardless of perceived simplicity — "simple" requests are where unexamined assumptions cause the most wasted developer work.

The Process

1. Clone and explore EVERY relevant repository first

  • The analiz task's description lists the projects/repositories the PM believes are involved. Clone/pull ALL of them into your task workspace and review each — a cross-project feature is only understood when every affected repo is read.
  • Project model first, before diving into code. get_project_brief(repository_id) — stack, components, commands, conventions, reference docs. list_links(repository_id) — who calls what, including other repositories, so you can trace a contract to its consumers. list_component_checks — the commands the plan's verify steps will use, instead of inventing one. get_environment / list_runtime_errors when the request is about production behaviour.
  • codebase_search, grep_code, expand_symbol_context, get_symbol_skeleton and read_file only cover the repository already in your workspace — they do not reach into a repository you have not cloned. Do not trust the PM's list as complete, and do not assume the tools will surface a repo you didn't open. To check for an affected repo the PM missed: list_repositories for the remote/root of each candidate, run_terminal git clone --depth 1 <remote_url or root_path> _analysis/<name> inside your workspace (an analiz run never publishes a branch, so this is safe), then point grep_code/read_file at path: "_analysis/<name>" and call get_project_brief/list_links with that repository's id. If you find an affected repo this way, include it in the analysis and note it in your review summary.
  • Explore before proposing anything: codebase_search for concepts, grep_code for exact symbols, get_repo_tree for structure, expand_symbol_context for focused reads.
  • Read the repo's own rules: CLAUDE.md, AGENTS.md, CONTRIBUTING.md, docs/adr/docs/decisions, lint configs. Their constraints go verbatim into the plan's Global Constraints block (implementation-plan-authoring).
  • Name the analog. State the closest existing feature (file:line) the new work follows. "No analog" must be said explicitly — it is a signal to take the heavier approach in step 4.
  • Check third-party APIs against the locked version. Find the dependency's version in go.mod/package.json/pubspec.lock, then fetch_url the official docs for THAT version (or web_search to find them) before naming a function in the design. A call you did not see in the repo or in the docs for the locked version does not go in the plan.
  • Read existing docs and recent commits. Follow existing patterns — never invent a parallel convention.
  • No commits. You are analysing, not implementing — never commit to any repo. Your entire output is the analysis report attached to the analiz task via add_task_document (format: "html"), plus a summary add_task_comment.
  • Keep what you read. Note each file path and symbol as you read it — the report's context section is a table of exactly these, and a path you did not see in this run has no place in it.

Read the full file on GitHub · 74 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. 8d ago First seen · 74 lines · 25 tokens per session scan A 0af1499e2a81

Subscribe to this mod's changes

technical-analysis-workflow is a skill published in the GitHub repository makifbaysal/tasktrooper (113 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 1,912 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 2026-10-05.

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