Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/makifbaysal/tasktroopernpx agentmods add skills/makifbaysal/tasktrooper/analiz-html-reportWrote 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.
[](https://agentmods.dev/skills/makifbaysal/tasktrooper/analiz-html-report)<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/analiz-html-report"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/analiz-html-report/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.
<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/analiz-html-report"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/analiz-html-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.04238 |
| Opus 5.5 | $0.00014 | $0.01695 |
| Sonnet 5.5 | $0.00007 | $0.00848 |
| Haiku 4.5 | $0.00003 | $0.00424 |
Grade A, and why
analiz-html-report 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.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analiz HTML Report
Overview
An analiz task produces exactly ONE document: an analysis report written as a self-contained HTML page, attached with add_task_document and format: "html", titled analiz: <YYYY-MM-DD> <topic>. The design (what spec-authoring describes) and the implementation plan (what implementation-plan-authoring describes) are SECTIONS of this report — never separate spec: … / plan: … documents.
The human reads the report in the task drawer, selects passages and comments on them, then sends every comment back at once. That shapes how you write it:
- Every claim a reviewer might question is plain text — a paragraph, a table cell, a list item. Text inside an SVG or an image cannot be selected and commented on, so a diagram illustrates a point the prose already makes; it never carries a decision alone.
- Every section and every plan step has a stable
id(summary,context,design,plan,step-3, …). A revision keeps them; the implementation tasks you create later can cite#step-3, and a reviewer's comments stay findable. - Developers read it as text. Implementation tasks derived from this analysis get the report's text rendition in their run context (headings, paragraphs, lists, table rows, code blocks — markup dropped). Structure it so that rendition reads well: real headings, real lists, real tables.
- Open questions are not part of this document. A genuine product decision the code can't settle is recorded with
record_open_questions(open-questions-protocol), never written here and never asked withask_user. The system renders every open question as an answer box above this report automatically — theriskssection below is risks only.
Required sections (in this order, with these ids)
summary— Summary. What is being built and why, in 3–6 sentences, then onecallout decisionstating the chosen approach. A reviewer who reads only this knows what they are approving.context— Context & current state. What exists today, grounded in code you read: a table of real file paths and symbols (internal/application/task/service.go—TaskService.ListByProject) with what each does now. No path or symbol you did not see in this run.design— Proposed design. Components with exact interfaces (names, parameter and return types), data flow, error handling, what the user sees, and the 2–3 approaches you weighed with the one-line reason the chosen one won. A decision worth remembering (new dependency, datastore/schema shape, API/contract pattern, auth/security architecture, cross-repo integration) gets a<h3 id="design-decision">decision record (spec-authoring); skip it for a bug fix or config change. A Security & data subsection names who may call each new interface, which inputs are attacker-controlled, and what data leaves the system. Out-of-scope items are listed explicitly.diagrams— Diagrams (only where they help: a request flow, a state machine, a component boundary). Inline<svg>with a<title>— its title is what the text rendition shows. Omit the section rather than draw a box that restates a sentence.plan— Implementation plan. Numbered steps (<ol class="steps">, each<li id="step-N">): files to create/modify/test with exact paths, the interfaces each step consumes and produces, and the TDD cycle with the actual test code and the command to run. No placeholders — "add error handling", "similar to step 2" and "TBD" are plan failures (implementation-plan-authoring).split— Task split. One row per project/repository: the repository, the layer, the one-line scope of its implementation task, the plan steps it owns, and its order (blocked_by/deploy_depends_on). This is what the human is approving you to create.risks— Risks. Each risk with its mitigation. Open questions do not go here (or anywhere in the HTML) — record them withrecord_open_questionsinstead (open-questions-protocol); the system renders them above the report as answer boxes.
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.
- 8d ago First seen · 181 lines · 35 tokens per session scan A 08e11031ae4c
analiz-html-report is a skill published in the GitHub repository makifbaysal/tasktrooper (113 stars, last pushed yesterday), licensed Apache-2.0. It adds 35 tokens to every session and 4,238 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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