document-task

A procedure for recording completed development work in task logs and documenting follow-up observations.

In plain words
What is it for?
Use it after finishing a task or batch of changes to update the dated task log and add notes about critical issues, recommendations, and anomalies.
Why use it?
It keeps project records current and makes blocking issues, inconsistencies, and future improvements visible to the team.

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/savedpixel/ai-agent-rules-generator/document-task
Any agent
npx skills add savedpixel/ai-agent-rules-generator --skill document-task
Clone the repo
git clone --depth 1 https://github.com/savedpixel/ai-agent-rules-generator

Made for: Claude Code, Codex.

Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 632 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 $0.00027 $0.00632
Opus 5 $0.00014 $0.00316
Sonnet 5 $0.00005 $0.00126
Haiku 4.5 $0.00003 $0.00063

Measured 2d ago against content hash 727e2fc2aa59, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

document-task 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 2d 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.

examples/glitch-payment-gateway/v1.1/codex/generated/.agents/skills/document-task/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Document & Log Completed Work

You just helped complete one or more tasks. Now document everything per the project rules in AGENTS.md.

Steps

  1. Review what was done — Scan the conversation to identify all completed work. Note which files were touched.

  2. Update today's task log — Append row(s) to docs/task/logs/YYYY-MM-DD.md (today's date). Create the file if it doesn't exist:

# Task Log — MM/DD/YYYY

> {n} tasks

| Title | Description | Start Date | End Date | Category | Type |
| --- | --- | --- | --- | --- | --- |
| {Action-oriented title} | {Concise outcome-focused description} | MM/DD/YYYY | MM/DD/YYYY | {Category} | {Type} |
  • Category: One of: Gateway, API, Webhooks, Checkout, Refunds, Admin, Security, Bug, Docs
  • Type: Task · Sprint
  • Consolidate related sub-tasks into one row when same scope
  • Update the > {n} tasks counter
  1. Log agent observations (BLOCKING GATE) — Append entries to docs/agent-observations/:

    • critical.md — Blocking issues, data inconsistencies, security concerns
    • recommendations.md — Improvement suggestions, follow-up tasks
    • anomalies.md — Inconsistencies, drift between docs and code

    If no observations: Observations: none. Silence is a violation.

  2. Update affected documentation — Based on which files changed, update relevant docs. Use the trigger map in AGENTS.md:

    • Gateway class changes → docs/plugin/architecture/1-gateway-core.md
    • API client changes → docs/plugin/architecture/2-api-integration.md
    • Webhook handler changes → docs/plugin/architecture/3-webhook-system.md
    • Checkout flow changes → docs/plugin/features/1-checkout-flow.md
    • Refund logic changes → docs/plugin/features/2-refund-processing.md
    • Admin settings changes → docs/plugin/features/3-admin-settings.md
    • Transaction manager changes → docs/plugin/features/4-transaction-management.md
    • Environment config changes → docs/plugin/features/5-environment-config.md

Read the full file on GitHub · 59 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. 2d ago First seen · 59 lines · 27 tokens per session scan A 727e2fc2aa59

Subscribe to this mod's changes

document-task is a skill published in the GitHub repository savedpixel/ai-agent-rules-generator (7 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 632 once invoked, about $0.0001 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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