final-task-report

final-task-report is a skill for Claude Code, Codex from waltstephen/ArgusBot. It costs 48 tokens per session (592 once invoked), scanned A, original, MIT.

A guide for producing a final Markdown report after a coding task is complete. Markdown is plain text with simple formatting that people can read on phones, desktops, and in code repositories.

In plain words
What is it for?
Use it to document the original task, proposed approach, implementation work, experiments, and special notes in one saved report file.
Why use it?
It gives the final handoff a consistent structure and keeps the report tied to work actually completed, data used, changes made, and experiments run.

Skill for Claude CodeCodex

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 skills/waltstephen/argusbot/final-task-report
Any agent
npx skills add waltstephen/ArgusBot --skill final-task-report
Clone the repo
git clone --depth 1 https://github.com/waltstephen/ArgusBot

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 final-task-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/waltstephen/argusbot/final-task-report.svg)](https://agentmods.dev/skills/waltstephen/argusbot/final-task-report)
Your own site
<a href="https://agentmods.dev/skills/waltstephen/argusbot/final-task-report"><img src="https://agentmods.dev/badge/skills/waltstephen/argusbot/final-task-report.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 592 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 $0.00048 $0.00592
Opus 5 $0.00024 $0.00296
Sonnet 5 $0.00010 $0.00118
Haiku 4.5 $0.00005 $0.00059

Measured 4d ago against content hash 77862b9cbc71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

final-task-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 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.

skills/final-task-report/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Final Task Report

Use this skill only in the final handoff phase.

Goal

Produce one Markdown report file that a user can read directly on phone or desktop.

The report must stay grounded in the actual work completed in the repository and current session. Do not invent experiments, datasets, or code changes.

This skill is meant to be updated over time as the reporting format evolves. Main agent should follow this skill directly for final report generation.

Required Sections

Always include these sections in order:

  1. ## 0. Original User Task or ## 0. 原始用户任务
  2. ## 1. What This Task Proposed or ## 1. 本次实验提出了哪些点
  3. ## 2. How It Was Done and What Data Was Used or ## 2. 具体是怎么做的,使用了什么数据
  4. ## 3. What the Main Agent Changed, What Approach It Used, and What Experiments It Ran or ## 3. main agent 修改了什么,使用了什么思路,跑了什么实验
  5. ## 4. Special Notes or ## 4. 特殊说明

If the task context is mixed-language, bilingual section titles are acceptable.

Content Rules

  1. Summarize only completed work.
  2. If no dataset was used, write 未使用 or none.
  3. If no experiment was run, write 未运行额外实验 or none.
  4. Include the original user task and any explicit user follow-up requirements.
  5. Special Notes should capture:
    • maintenance rules
    • user-visible caveats
    • follow-up constraints
    • any special thing the user explicitly asked to be highlighted
  6. Do not infer or mention unrelated internal skill context. User requirements are enough.
  7. Prefer the language of the user task:
    • Chinese task -> Chinese report
    • English task -> English report
    • mixed context -> bilingual or mixed headings
  8. Prefer concrete evidence:
    • files changed
    • commands/checks run
    • observed outputs
    • validation results
  9. Keep it readable on mobile:
    • short paragraphs
    • flat bullets
    • avoid long walls of text

Write Contract

  1. Write to the exact file path requested by the caller.
  2. Do not rename the output file.
  3. Do not create multiple alternative reports unless explicitly requested.
  4. After writing, reply only with the final file path/status if the caller asks for a terse machine-readable response.

Read the full file on GitHub · 64 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 · 64 lines · 48 tokens per session scan A 77862b9cbc71

Subscribe to this mod's changes

final-task-report is a skill published in the GitHub repository waltstephen/ArgusBot (316 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 592 once invoked, about $0.0002 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.

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