Borrowing it
Nothing to install: this file belongs to ThoBustos/openyoko. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ThoBustos/openyoko/main/.claude/skills/monthly/SKILL.mdgit clone --depth 1 https://github.com/ThoBustos/openyokoWrote 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/thobustos/openyoko/monthly)<a href="https://agentmods.dev/skills/thobustos/openyoko/monthly"><img src="https://agentmods.dev/badge/skills/thobustos/openyoko/monthly/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/thobustos/openyoko/monthly"><img src="https://agentmods.dev/badge/skills/thobustos/openyoko/monthly.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.01924 |
| Opus 5.5 | $0.00000 | $0.00770 |
| Sonnet 5.5 | $0.00000 | $0.00385 |
| Haiku 4.5 | $0.00000 | $0.00192 |
Grade A, and why
monthly 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 2mo 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/monthly Skill
Monthly reflection and planning ritual. Run at the start of each month to score your pillars, reflect deeply, and set intentions for the coming month.
Usage
/monthly [month]
Examples:
/monthly- Current month reflection/monthly 01- January reflection/monthly 2026-02- Specific month
Prerequisites
Before running this skill, check:
-
Year goals exist - Look for
01_GOALS/{{YYYY}}.md- IF MISSING: "You don't have year goals set. Would you like to do a quick yearly planning session first?"
-
LIFE_VISION.md exists - Check
00_SYSTEM/LIFE_VISION.md- IF MISSING: "You haven't defined your life vision yet. Would you like to run /onboarding?"
-
GLOBAL_STATE.md is fresh
- IF STALE: Update before proceeding
Flow Overview
- Review the month (what happened)
- Score each pillar 1-10
- Answer reflection questions
- Review project portfolio
- Set month intentions
- Create month journal
- Update GLOBAL_STATE.md
- Offer to cascade into /weekly
Step 1: Gather Context
Read these files:
00_SYSTEM/GLOBAL_STATE.md- Current state00_SYSTEM/LIFE_VISION.md- Vision and identity word00_SYSTEM/PILLARS.md- Pillar definitions01_GOALS/{{YYYY}}.md- Year goals02_JOURNAL/Weekly/- All weeks from the past month03_PROJECTS/*/_STATE.md- All active project states
Summarize what you learn about the past month.
Step 2: Review the Month
Share with user:
- Summary of weeks from the past month
- Projects that were active
- Major events or shifts you noticed
Ask:
- "What were the highlights of this month?"
- "What were the lowlights or disappointments?"
- "What surprised you?"
Step 3: Score Each Pillar (1-10)
Go through each pillar and ask for a score:
"Let's score how you did on each pillar this month. 1 = neglected, 10 = thriving."
Body & Energy
Monthly lens: "What does your body need right now?"
- How did you treat your body this month?
- Score (1-10):
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.
- 2mo ago First seen · 288 lines · 0 tokens per session scan A 9e3121475bed
monthly is a skill published in the GitHub repository ThoBustos/openyoko (9 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,924 tokens. 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.
monthly compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| monthlyThoBustos/openyoko | Skill | 9 | 2mo ago | MIT | A | 0 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |