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.
npx agentmods add skills/savedpixel/ai-agent-rules-generator/document-tasknpx skills add savedpixel/ai-agent-rules-generator --skill document-taskgit clone --depth 1 https://github.com/savedpixel/ai-agent-rules-generatorWhat 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 | $0.00027 | $0.00632 |
| Opus 5 | $0.00014 | $0.00316 |
| Sonnet 5 | $0.00005 | $0.00126 |
| Haiku 4.5 | $0.00003 | $0.00063 |
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.
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
-
Review what was done — Scan the conversation to identify all completed work. Note which files were touched.
-
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} taskscounter
-
Log agent observations (BLOCKING GATE) — Append entries to
docs/agent-observations/:critical.md— Blocking issues, data inconsistencies, security concernsrecommendations.md— Improvement suggestions, follow-up tasksanomalies.md— Inconsistencies, drift between docs and code
If no observations:
Observations: none.Silence is a violation. -
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
- Gateway class 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.
- 2d ago First seen · 59 lines · 27 tokens per session scan A 727e2fc2aa59
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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