review

review is a skill for Claude Code, Codex from rlacombe/switchback-running. It costs 13 tokens per session (668 once invoked), scanned A, original, MIT.

A post-workout review that compares a recent activity with the workout that was planned. It can use data from Intervals.icu or Strava, including distance, duration, pace, elevation, heart rate, notes, effort, and gear when available.

In plain words
What is it for?
Use it to review your latest run or other activity, compare planned and actual metrics, and assess how the workout went using the relevant training guidance.
Why use it?
It puts the plan and the recorded workout side by side, so you can see where the session matched or differed without checking several training services manually.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/rlacombe/switchback-running/review
Any agent
npx skills add rlacombe/switchback-running --skill review
Clone the repo
git clone --depth 1 https://github.com/rlacombe/switchback-running

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for review

README.md
[![agentmods](https://agentmods.dev/badge/skills/rlacombe/switchback-running/review.svg)](https://agentmods.dev/skills/rlacombe/switchback-running/review)
Your own site
<a href="https://agentmods.dev/skills/rlacombe/switchback-running/review"><img src="https://agentmods.dev/badge/skills/rlacombe/switchback-running/review.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 668 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00013 $0.00668
Opus 5 $0.00006 $0.00334
Sonnet 5 $0.00003 $0.00134
Haiku 4.5 $0.00001 $0.00067

Measured 4d ago against content hash 22e08b8adc4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review 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 4d 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.

.claude/skills/review/SKILL.md · 35 lines

What it actually says

/review — Post-Workout Analysis

  1. Get today's date. Read knowledge/workout-types.md to understand the purpose and targets of the workout type being reviewed. For long runs, also read knowledge/long-runs.md. For intervals, also read knowledge/aerobic-base.md.
  2. Fetch data using MCP tools (call them directly, in parallel where possible):
    • Intervals.icu activities endpoint for the last 3 days, if configured; otherwise Strava activities for the same period
    • Intervals.icu events endpoint for the last 3 days when available, to find a matching planned workout
    • If both providers report the same session, treat it as one physical activity, not two workouts.
  3. Identify the most recent activity and fetch its details. Use Intervals.icu interval data where available; use Strava detail for athlete-authored notes, perceived exertion, and gear when relevant. Do not fetch Strava comments unless the athlete asks about them.
  4. Display:
    • Workout Summary: Name, type, date
    • Planned vs Actual table:
      Metric Planned Actual Diff
      Distance (mi)
      Duration
      Avg Pace (min/mi)
      Elevation (ft)
    • Heart Rate: Avg, max, time in zones (if available)
    • Cadence: Avg (if available)
    • Intervals/Laps: Key splits if interval data exists
    • Training Load: load/TSS from the activity
  5. If the activity warrants deeper analysis (tempo runs, intervals, long runs over 2 hours), use the activity streams endpoint to examine:
    • Pace drift: Compare first-half vs second-half average pace from velocity_smooth
    • HR decoupling: Compare pace:HR ratio in first half vs second half (decoupling > 5% suggests aerobic ceiling was reached)
    • Elevation profile: Correlate altitude changes with pace/HR to assess climbing efficiency Only fetch streams when the analysis would add value — not for every easy run.
  6. Flag any planned-vs-actual deviations > 10%
  7. One-line coaching note on the workout execution, grounded in the training science from the knowledge base (e.g., reference HR decoupling thresholds from knowledge/aerobic-base.md, or pacing principles from knowledge/long-runs.md)
  8. Read the Activity memory preference in athlete/profile.md. It is enabled by default. Unless the athlete has set it to disabled, archive the reviewed activity using the /archive schema. Write athlete/activities/YYYY/MM/YYYY-MM-DD--provider--activity-id.md with a compact metrics snapshot, athlete-authored note if relevant, plan/execution comparison, and companion assessment. Never store GPX, GPS coordinates, raw streams, or third-party comments. Preserve any manually edited narrative in an existing note.
Changes

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.

  1. 4d ago First seen · 35 lines · 13 tokens per session scan A 22e08b8adc4c

Subscribe to this mod's changes

review is a skill published in the GitHub repository rlacombe/switchback-running (10 stars, last pushed 9d ago), licensed MIT. It adds 13 tokens to every session and 668 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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