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/rlacombe/switchback-running/adjustnpx skills add rlacombe/switchback-running --skill adjustgit clone --depth 1 https://github.com/rlacombe/switchback-runningWhat 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 | $0.00011 | $0.00400 |
| Opus 5 | $0.00005 | $0.00200 |
| Sonnet 5 | $0.00002 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
adjust 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.
What it actually says
/adjust — Modify Upcoming Workouts
The user will provide a reason (e.g., "feeling tired", "knee is sore", "need to swap Thursday and Friday").
Calendar modification requires Intervals.icu. If it is not configured, provide a proposed plan in text and state that the athlete must add it to their own calendar.
- Read relevant knowledge base files based on the reason:
- Fatigue/soreness:
knowledge/recovery-overtraining.md,knowledge/injury-prevention.md - Schedule change:
knowledge/periodization.md(preserve weekly structure principles) - Feeling great:
knowledge/volume-progression.md(safe ramp limits) - Pain/injury concern:
knowledge/injury-prevention.md(always recommend medical consultation first)
- Fatigue/soreness:
- Fetch data using MCP tools (call them directly, in parallel where possible):
- Wellness endpoint for the last 3 days
- Fitness endpoint for the last 7 days
- Events endpoint for the next 7 days
- Analyze the user's reason against the data:
- If fatigue/soreness: consider reducing volume/intensity, adding rest
- If schedule change: swap or move workouts while preserving weekly structure
- If feeling great: consider modest additions (never reckless increases)
- Display:
- Current Status: Wellness + form summary
- Proposed Changes: Table showing each affected day with before → after
- Clear explanation of why each change is being made, citing training science from the knowledge base
- WAIT FOR USER CONFIRMATION — explicitly ask "Should I apply these changes?" before calling the update event, create event, or delete event endpoints
- Only after user confirms, apply the changes and show confirmation of what was updated
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 · 31 lines · 11 tokens per session scan A 2444cd95f891
adjust is a skill published in the GitHub repository rlacombe/switchback-running (11 stars, last pushed 7d ago), licensed MIT. It adds 11 tokens to every session and 400 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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