ai-agent-rules-generator task.instructions.md

A required task process for engineering work on a Glitch WooCommerce payment plugin. It uses checkpoints before coding, during implementation, and after verification.

In plain words
What is it for?
Use it for every project task: record the work in the task list, create a plan for larger tasks, update progress, verify the result, and take a screenshot for interface changes.
Why use it?
It makes planning, progress tracking, testing, and completion checks explicit so work is not started or closed prematurely.

Instructions file for GitHub Copilot

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 instructions/savedpixel/ai-agent-rules-generator/task
Clone the repo
git clone --depth 1 https://github.com/savedpixel/ai-agent-rules-generator

Made for: GitHub Copilot.

Per session 1,703 This file is loaded in full into every session.
When invoked 1,703 The same file — it is already loaded in full.
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 $0.01703 $0.01703
Opus 5 $0.00851 $0.00851
Sonnet 5 $0.00341 $0.00341
Haiku 4.5 $0.00170 $0.00170

Measured yesterday against content hash 45cc3214b902, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-agent-rules-generator task.instructions.md 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 yesterday.

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/v1.0/generated/.github/instructions/task.instructions.md · 181 lines

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.

Copilot Global Execution Rules

These rules apply to ALL tasks without exception. They are BLOCKING — you may not skip any step.


BLOCKING: Task Lifecycle (execute for EVERY task)

This is a gate-checked pipeline. Each step MUST complete before the next begins. Skipping any step is a rule violation.

Step 1 — BEFORE writing any code

  • Add unchecked checkbox item(s) in docs/task/todo.md
  • If task is multi-step (≥3 steps), create docs/task/planning/<task-slug>.md and reference it in the todo item
  • For non-trivial requests: write a brief plan before implementation

STOP: Do NOT write implementation code until Step 1 is complete.

Step 2 — During implementation

  • Keep progress status accurate in docs/task/todo.md (check boxes as sub-tasks complete)
  • If new information invalidates the plan, STOP and re-plan immediately

Step 3 — After implementation, BEFORE marking complete

  • Verify the change works (build, dev server, browser, endpoints — whatever applies)
  • For UI changes: take screenshot to confirm rendering
  • For API changes: test endpoint responses
  • For database changes: verify migrations and data integrity

STOP: Do NOT mark the task complete until verification passes.

Step 4 — Log Observations (BLOCKING GATE)

  • Follow .github/instructions/agent-observations.instructions.md
  • Review everything you touched, read, or discovered during this task
  • Append entries to docs/agent-observations/ logs: critical.md, recommendations.md, anomalies.md
  • If no observations: explicitly state "Observations: none."

STOP: This gate MUST complete before Step 5. Silence is a violation.

Step 5 — Completion (all three are required)

  • Remove the finished item from docs/task/todo.md
  • Append a row to today's daily task log docs/task/logs/YYYY-MM-DD.md (see format below)
  • Update relevant docs/logic/ documentation if the change touches plugin behavior

Read the full file on GitHub · 181 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. yesterday First seen · 181 lines · 1,703 tokens per session scan A 45cc3214b902

Subscribe to this mod's changes

ai-agent-rules-generator task.instructions.md is an instructions file published in the GitHub repository savedpixel/ai-agent-rules-generator (7 stars, last pushed 4mo ago), licensed MIT. It adds 1,703 tokens to every session, about $0.0085 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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