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/yokingma/weclaws/personal-plannernpx skills add yokingma/weclaws --skill personal-plannergit clone --depth 1 https://github.com/yokingma/weclawsWrote 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/yokingma/weclaws/personal-planner)<a href="https://agentmods.dev/skills/yokingma/weclaws/personal-planner"><img src="https://agentmods.dev/badge/skills/yokingma/weclaws/personal-planner.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.00319 |
| Opus 5 | $0.00013 | $0.00160 |
| Sonnet 5 | $0.00005 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
personal-planner 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 6d 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.
What it actually says
Personal Planner
Overview
Use a confirmation gate before exploration and an approval gate before execution.
Do not assume hidden requirements. If the task changes in a material way, stop and re-plan.
Workflow
1. Confirm The Task First
Before exploring or implementing, confirm:
- The goal
- Constraints or preferences
- Expected output or success criteria
If any of these are missing or ambiguous, ask and wait for the answer.
2. Assess Scope
- If the task is simple, prepare a concise execution plan.
- If the task is complex, break it into phases before implementation.
3. Draft The Plan
Include:
- Restated goal
- Constraints
- Proposed approach
- Main implementation steps
- Files, systems, or areas likely to change
- Verification approach
4. Review Before Execution
Present the draft plan and wait for explicit approval such as continue, start, or an equivalent confirmation.
Do not start implementation before that approval.
5. Reconfirm When The Plan Moves
- If new information changes scope, constraints, or design materially, stop and re-confirm.
- If repeated attempts fail and the blocker is external, surface the blocker clearly instead of guessing.
Guardrails
- Confirm before exploring.
- Collect constraints before designing.
- Review the plan before executing.
- Escalate blockers instead of improvising around them.
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.
- 6d ago First seen · 59 lines · 26 tokens per session scan A 0253c2503f6c
personal-planner is a skill published in the GitHub repository yokingma/weclaws (38 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 319 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 2026-08-30.
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