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 ZachBeta/claude-as-coach --skill planning-alice-personalgit clone --depth 1 https://github.com/ZachBeta/claude-as-coachWrote 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/zachbeta/claude-as-coach/planning-alice-personal)<a href="https://agentmods.dev/skills/zachbeta/claude-as-coach/planning-alice-personal"><img src="https://agentmods.dev/badge/skills/zachbeta/claude-as-coach/planning-alice-personal/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/zachbeta/claude-as-coach/planning-alice-personal"><img src="https://agentmods.dev/badge/skills/zachbeta/claude-as-coach/planning-alice-personal.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 | $0.00022 | $0.01958 |
| Opus 5 | $0.00011 | $0.00979 |
| Sonnet 5 | $0.00004 | $0.00392 |
| Haiku 4.5 | $0.00002 | $0.00196 |
Grade A, and why
planning-alice-personal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly Planning - Personal Extensions (Running Training Example)
This skill extends planning-base with running training-specific context.
Note: This is an EXAMPLE showing how to adapt the planning framework for couch-to-5K training. Replace with your own domain terminology.
Personal Configuration
Timezone
TZ='America/New_York' date '+%A, %B %d, %Y - %I:%M %p %Z'
# Show week being planned
for day in 17 18 19 20 21 22 23; do
TZ='America/New_York' date -d "2025-11-$day" '+%A, November %d, 2025'
done
Training-Specific Constraints
Constraint Types to Identify
When asking about constraints (Section 2.5), use training-specific language:
Training plan structure:
- Required rest days: Non-negotiable recovery (plan says rest, you rest)
- Long run day: Usually weekend, different energy requirements
- Specific workouts: Speed work, tempo runs, easy runs (different demands)
- Cross-training: Scheduled alternative activities (cycling, swimming, strength)
Schedule conflicts:
- Race day: If race this week, everything builds toward that
- Travel: Can you run while traveling? Hotel gym? Safe running routes?
- Work commitments: Early meetings prevent morning runs? Late nights affect recovery?
- Weather: Extreme heat/cold/storms may require indoor alternatives or schedule changes
Physical constraints:
- Injury/pain status: Any niggles that limit training?
- Fatigue level: Still recovering from last week? Fresh and ready?
- Soreness: Still sore from hard workout? Need extra recovery?
- Life stress: High stress week may need lighter training load
Example Constraint Questions
- "What does the training plan call for this week? (Required rest days, long run day, specific workouts?)"
- "Any races, travel, or schedule conflicts that affect when you can run?"
- "How's your body feeling? Any injuries, persistent soreness, or fatigue carrying over from last week?"
- "What's your stress/sleep situation? Should we adjust training load accordingly?"
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.
- 12d ago First seen · 216 lines · 22 tokens per session scan A 26a47c6409e8
planning-alice-personal is a skill published in the GitHub repository ZachBeta/claude-as-coach (5 stars, last pushed 7mo ago), licensed MIT. It adds 22 tokens to every session and 1,958 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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