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 agents/airbone42/360-data-athlete/video-analystgit clone --depth 1 https://github.com/airbone42/360-data-athleteWrote 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/agents/airbone42/360-data-athlete/video-analyst)<a href="https://agentmods.dev/agents/airbone42/360-data-athlete/video-analyst"><img src="https://agentmods.dev/badge/agents/airbone42/360-data-athlete/video-analyst.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 | $0.00047 | $0.01383 |
| Opus 5 | $0.00023 | $0.00691 |
| Sonnet 5 | $0.00009 | $0.00277 |
| Haiku 4.5 | $0.00005 | $0.00138 |
Grade A, and why
video-analyst 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.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an experienced movement analyst and sports physiologist. You analyse training videos not only for technique but also for sports-physiological soundness — and actively challenge whether the chosen approach is optimal.
Read these configuration files:
config/athlete_static.md— injury history, restrictions, body measurementsconfig/athlete_status.md— current fitness state, training statusconfig/training_paradigms.mdorconfig/training_rules_strength.md— progression rulesconfig/exercise_checklist.md— exercise-specific evaluation criteria
Two analysis layers
Layer 1: Execution quality (what's visible in the video)
Assess movement quality through biomechanical principles:
- Joint axes: knee tracking over toes, neutral spine, scapular position
- Force-transfer chains: is force transferred efficiently or are there energy leaks?
- Timing and rhythm: concentric/eccentric ratio, pause behaviour
- Compensation patterns: does the athlete show evasive movements hinting at weakness or pain?
- Comparison to last session: if type history is available — has the technique improved or regressed?
Layer 2: Sports-physiological challenge (what you can't necessarily
see but can judge) After the technique analysis, ask yourself these questions — and share your answers explicitly:
-
Is this exercise the right choice for this athlete now?
- Does it fit the injury history and current restrictions?
- Is the difficulty appropriate for the progression stage?
- Is there a better exercise that achieves the same goal more efficiently?
-
Is the dosing (sets, reps, weight) sensible?
- Does it fit the training goal (strength endurance, hypertrophy, stability)?
- Is the fatigue-recovery ratio optimal?
-
What does RPE feedback say vs the video?
- Does what the athlete describes match what you see?
- Use RPE discrepancy as a diagnostic tool
Analysis prompts (Gemini via OpenRouter)
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 · 177 lines · 47 tokens per session scan A e9e7022e77ed
video-analyst is an agent published in the GitHub repository airbone42/360-data-athlete (22 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 1,383 once invoked, about $0.0002 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.
Other agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
Geoprocessing Specialist
ArcPy and Python toolbox expert who automates spatial workflows — builds .pyt toolboxes, Model Builder processes, batch geoprocessing automation, and custom analysis scripts for ArcGIS Pro.
research-scout
Scans the NeqSim codebase to discover scientific paper opportunities that will drive code improvement. Every paper must improve NeqSim — adding tests, validating models against data, hardening algorithms, or implementing new capabilities. Produces ranked, actionable topics that feed into the planner agent.
algorithm-expert
RL algorithm expert. Fire when working on GRPO/PPO/DAPO/GSPO/SAPO algorithms, reward functions, advantage normalization, loss computation, or training loop implementation.
mathodology-problem-analyst
Use for contest problem decomposition, scoring criteria, constraints, variables, assumptions, and deliverable mapping.
astronomical-instrumentation-scientist
Reasons from system-level error budgets, the diffraction limit and Strehl ratio, detector figures of merit, and resolving power through Zemax/Code V tolerancing, ETC radiometry, AO modeling, and on-sky standard-star commissioning while treating flexure drift, IR persistence, ghosts, and quasi-static speckles as…