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 skills add tomzx/agents --skill start-monthgit clone --depth 1 https://github.com/tomzx/agentsWrote 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/tomzx/agents/start-month)<a href="https://agentmods.dev/skills/tomzx/agents/start-month"><img src="https://agentmods.dev/badge/skills/tomzx/agents/start-month/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/tomzx/agents/start-month"><img src="https://agentmods.dev/badge/skills/tomzx/agents/start-month.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 | $0.00045 | $0.00690 |
| Opus 5 | $0.00023 | $0.00345 |
| Sonnet 5 | $0.00009 | $0.00138 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
start-month 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 7d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BASE_DIR=!~/.agents/scripts/get-env NOTES_DIR
TODAY=!date +%Y-%m-%d
YEAR=!date +%Y
MONTH=!date +%m
MONTH_NAME=!date +%B
PREV_MONTH=!date -d "last month" +%m
PREV_YEAR=!date -d "last month" +%Y
Start Month
Sets intent for the calendar month: theme, a small set of outcomes, carryover from last month’s review, and what to protect or drop.
Prerequisites
NOTES_DIRset (via~/.agents/scripts/get-env NOTES_DIR)- Optional:
{BASE_DIR}/goals.md,{BASE_DIR}/team-goals.md - Optional:
{BASE_DIR}/{PREV_YEAR}/{PREV_MONTH}/month-review.md(from end-of-month-review) - Optional: latest weekly
plan.mdorreview.mdunder{BASE_DIR}/{YEAR}/weekly/for continuity
Steps
1. Resolve month context
Use calendar month {MONTH} and {YEAR}. For “last month,” use {PREV_YEAR} and {PREV_MONTH} (handles January rolling to December of the prior year when using the same date patterns as end-of-month-review).
2. Gather context
Read if they exist:
{BASE_DIR}/{PREV_YEAR}/{PREV_MONTH}/month-review.md(especially the Next Month section){BASE_DIR}/goals.mdand{BASE_DIR}/team-goals.md- This month’s
{BASE_DIR}/{YEAR}/{MONTH}/month-plan.mdif you already started the month
3. Synthesize (in chat unless the user asks for a file)
Deliver:
- Theme (one line for the month)
- Top 3 to 5 outcomes (measurable or clearly done or not done)
- Carryover from last month’s review (scheduled, delegated, or explicitly dropped)
- Strategic focus (single most important thread, aligned with goals or OKRs)
- Risks (capacity, dependencies, recurring commitments to trim)
If last month’s month-review.md is missing, note the gap and plan from goals plus what the user states.
4. Optional file output
If the user wants it persisted, write {BASE_DIR}/{YEAR}/{MONTH}/month-plan.md:
---
month: {MONTH_NAME} {YEAR}
date: {TODAY}
---
# Month plan
## Theme
## Top outcomes (3 to 5)
## Carryover from last month
## Strategic focus
## Risks and constraints
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.
- 7d ago First seen · 74 lines · 45 tokens per session scan A 745b58cb1c10
start-month is a skill published in the GitHub repository tomzx/agents (6 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 690 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 2026-09-03.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.