Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add gtapps/hermitd/plugin install hermitd-fitnessWrote 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/gtapps/hermitd/activity-deep-dive)<a href="https://agentmods.dev/skills/gtapps/hermitd/activity-deep-dive"><img src="https://agentmods.dev/badge/skills/gtapps/hermitd/activity-deep-dive/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/gtapps/hermitd/activity-deep-dive"><img src="https://agentmods.dev/badge/skills/gtapps/hermitd/activity-deep-dive.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 | $0.00063 | $0.03114 |
| Opus 5.5 | $0.00025 | $0.01246 |
| Sonnet 5.5 | $0.00013 | $0.00623 |
| Haiku 4.5 | $0.00006 | $0.00311 |
Grade A, and why
activity-deep-dive 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- activity-deep-dive — 88% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Activity Deep-Dive
Produces a standardised per-activity coaching note. All deterministic statistics (session-kind detection, terrain, zones, cadence, efficiency, cardiac drift, VAM/GAP, recovery estimate) are computed by scripts/fitness-lab.ts — this skill runs it once, interprets the JSON, and writes the coaching narrative. Raw Strava streams never enter context: the script fetches and reduces them; the skill only sees the reduced metrics.
Interval sessions get work-interval HR progression and between-bout recovery quality; steady sessions get pace/HR efficiency and cardiac drift. Trail sessions swap pace/HR efficiency for VAM and a grade-adjusted-pace estimate, reframe cardiac drift against the altitude profile, and extend the recovery window for descent load. Both get zone breakdown, recovery estimate, and a coaching note. Saves a compiled artifact and returns a compact summary.
Usage
/hermitd-fitness:activity-deep-dive <activity-id>
/hermitd-fitness:activity-deep-dive latest
Steps
-
Resolve subjective RPE. Read
.hermit/state/activity-notes.json. If it exists and has an entry for the resolved activity ID (or, forlatest, hold the check until step 2 returns the ID), keeprpeandnotesfor the output template and artifact frontmatter. The script does NOT read RPE — this is the skill's job. -
Run the analysis script. Issue a single Bash call:
bun ${CLAUDE_PLUGIN_ROOT}/scripts/fitness-lab.ts analyze <activity-id|latest>The script fetches details, laps, streams, athlete zones, and the recent summary activities (for the efficiency baseline), then emits one JSON object. Handle the error contract:
{"error":"strava_auth","message":"…"}(exit 1) → the token is missing or expired. Relay themessageverbatim to the operator and stop. Do not compute anything.{"error":"fetch","message":"…"}(exit 1) → report the message and stop.- Success (exit 0) → parse the JSON and continue.
-
Interpret the JSON. The object has these fields (see
thresholdsin the payload for the exact cutoffs behind each classification — cite them in coaching prose without hardcoding a second copy):
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.
- 11d ago First seen · 151 lines · 63 tokens per session scan A 3f993182cc02
activity-deep-dive is a skill published in the GitHub repository gtapps/hermitd (79 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 3,114 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-02.
Other skills, from other repositories
vigil-instrument
Instrument a service with OpenTelemetry — RED metrics, structured logs, distributed tracing, and health checks. Outputs actual code and config, not a plan. Use when asked to "add monitoring", "instrument this", "add logging", "set up tracing", or "observability".
pave-env
Set up local development environments — devcontainers, Docker Compose, one-command setup, dev/prod parity. Use when asked to "set up dev environment", "devcontainer", "docker compose for dev", "local development setup", or "one command to run".
design-system-reference
Style guides and implementation rules for frontend design. Works with design-discovery agent which handles context gathering and VS-based style recommendations. Contains detailed style guides, anti-patterns, and implementation checklists.
github-pr-creation
Creates GitHub Pull Requests with automated validation and task tracking. Use when user wants to create PR, open pull request, submit for review, or check if ready for PR. Analyzes commits, validates task completion, generates Conventional Commits title and description, suggests labels. NOTE - for merging existing…
boss-briefing
Vault health check — workflow pattern analysis, profile sync, session gap recovery, persona rule proposals.
magic-compact
Compact this Claude Code session.