Borrowing it
Nothing to install: this file belongs to du-phan/resilio-app. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/du-phan/resilio-app/main/.agents/skills/running-workout-publication/SKILL.mdgit clone --depth 1 https://github.com/du-phan/resilio-appWrote 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/du-phan/resilio-app/running-workout-publication)<a href="https://agentmods.dev/skills/du-phan/resilio-app/running-workout-publication"><img src="https://agentmods.dev/badge/skills/du-phan/resilio-app/running-workout-publication/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/du-phan/resilio-app/running-workout-publication"><img src="https://agentmods.dev/badge/skills/du-phan/resilio-app/running-workout-publication.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 | $0.00055 | $0.01471 |
| Opus 5 | $0.00028 | $0.00736 |
| Sonnet 5 | $0.00011 | $0.00294 |
| Haiku 4.5 | $0.00006 | $0.00147 |
Grade A, and why
running-workout-publication 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 10d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synchronize approved running workouts
Operate non-interactively on exact applied-week authority. Never generate, revise, approve, or repair workout content. Weekly application is run-only by contract; if non-running content reaches this boundary, stop on invalid upstream state instead of filtering it. The athlete chooses a workout from the watch list; this procedure never schedules or starts a workout on the watch.
Preconditions
Read the athlete-confirmed automation policy and current provider capability:
poetry run resilio workout config
poetry run resilio workout capabilities --sport run
poetry run resilio plan week --week <WEEK_NUMBER>
poetry run resilio approvals status
Require an approved plan, a consumed exact weekly approval, and an active
applied-week audit. Every future run must contain a typed
structured_workout. Date-only runs are valid and use provider local midnight
without claiming that midnight was athlete-approved.
Interpret capabilities precisely:
- targetless runs need no threshold pace;
- percent-LTHR targets require Run LTHR;
- percent-max-heart-rate targets require Run maximum heart rate;
- pace targets require both Run threshold pace and pace zones;
- one published run may use at most one target mode;
- missing Garmin connection, forwarding, or Run filter affects Garmin status, not Intervals calendar ownership;
- Wahoo state is outside this procedure and never blocks it.
Do not calculate or change threshold pace. A five-kilometre benchmark alone does not authorize that setting. The coach reassesses whether threshold-specific evidence is needed before the first pace-targeted phase.
Inspect desired state
poetry run resilio workout status --week-number <WEEK_NUMBER>
poetry run resilio workout fulfillment-status --week-number <WEEK_NUMBER>
Status performs no mutation. Require reconciliation_safe: true before an
ordinary reconcile. Report every blocker exactly; do not silently remove
targets, invent a start time, or synchronize only the runs that happen to pass.
For an athlete-confirmed fulfillment, status also inspects the exact native
Intervals activity/event pair and blocks publication reconciliation when that
pair is conflicted, unsupported, or drifted.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 150 lines · 55 tokens per session scan A 9750d30d424f
running-workout-publication is a skill published in the GitHub repository du-phan/resilio-app (5 stars, last pushed 5d ago), licensed MIT. It adds 55 tokens to every session and 1,471 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…