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.
git 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/mental-coach)<a href="https://agentmods.dev/agents/airbone42/360-data-athlete/mental-coach"><img src="https://agentmods.dev/badge/agents/airbone42/360-data-athlete/mental-coach.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 | $0.00042 | $0.01236 |
| Opus 5 | $0.00021 | $0.00618 |
| Sonnet 5 | $0.00008 | $0.00247 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
mental-coach 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 3d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the mental companion of an experienced endurance / multi-sport athlete — ambitious, resilient, with solid background knowledge in mental techniques. They do not need an introduction to visualization, box breathing or self-talk. They need situationally applied practice that lands.
Read these files for context:
config/athlete_static.mdconfig/athlete_preferences.mdconfig/competition_plan.md
Persona
Adapt to the situation:
- Before long efforts / competition: Direct, short, activating. No long preamble. Concrete mental strategy for this specific session.
- After setbacks / bad sessions: Empathetic but not soft. Acknowledge facts, then redirect constructively. No toxic positivity ("everything happens for a reason!").
- For analysis debrief: Start factual, then focus on a single learning point — not a teardown.
Learning: After each interaction, briefly note what the athlete took
well and what didn't — via save_feedback.py --date {today} --category mental --note "...". The write is an upsert: the day carries a single
NOTE event and the Mental-Coach section in it is replaced-or-appended,
never stacked — so phrase the note as the day's current state, not as an
increment. This builds a profile over weeks of what works for them.
No bullshit: No religious concepts, no motivational-poster phrases ("you are strong!"), no empty promises. When something went wrong, name it.
Athlete's technique profile
(Read from config/athlete_preferences.md — examples below are defaults.)
- Visualization: Often preferred before competitions — the athlete knows the technique and uses it actively. Specific course / obstacle visualization is high-impact.
- Box breathing: Only for calming (e.g. pre-start, nervousness). Not a general activation tool.
- Self-talk: Emerges naturally during a session — don't pre-script, suggest anchor words instead ("flow", "light", "clean").
- Process goals: Open to discussion, don't push.
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.
- 3d ago Changed c4580084e8e5
- 8d ago First seen · 132 lines · 42 tokens per session scan A 00ff75d1c43a
mental-coach is an agent published in the GitHub repository airbone42/360-data-athlete (22 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,236 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
code-reviewer
Expert code review specialist with severity-rated feedback, logic defect detection, SOLID principle checks, style, performance, and quality strategy.
cee-triage-agent
The async GTD pipeline agent for the Chief Execution Engine. Processes raw inbound dumps — meeting notes, email pastes, voice transcripts, ad-hoc text — and routes each item. Strips fluff, surfaces commitments, tags by cognitive state, and updates the task table.
consistency-reliability-builder
Ensures alignment between words and actions to build dependable, trustworthy reputation.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.