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/baseline-assessment-plan/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/baseline-assessment-plan)<a href="https://agentmods.dev/skills/du-phan/resilio-app/baseline-assessment-plan"><img src="https://agentmods.dev/badge/skills/du-phan/resilio-app/baseline-assessment-plan/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/baseline-assessment-plan"><img src="https://agentmods.dev/badge/skills/du-phan/resilio-app/baseline-assessment-plan.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 | $0.00057 | $0.01284 |
| Opus 5.5 | $0.00023 | $0.00514 |
| Sonnet 5.5 | $0.00011 | $0.00257 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
baseline-assessment-plan 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 1mo 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan a baseline assessment
Keep the conversation in athlete language. The coach owns every health check, distance choice, scheduling choice, and approval. This procedure may create an unapproved plan, but it must not approve the plan or any exact week.
Safety boundary
- This workflow is for non-injury return to running. If pain, an active injury, post-operative rehabilitation, systemic illness, pregnancy-related medical restrictions, or clinician-directed return-to-sport constraints are present, stop and route the athlete to appropriate professional guidance.
- Default to a 5K benchmark. Mile, 10K, half-marathon, and marathon are representable, but a test longer than 5K requires explicit athlete confirmation and an evidence-backed rationale. Never choose a longer test merely because the target race is longer.
- Do not invent VDOT, target time, pace, heart-rate, readiness, or injury-risk values. The benchmark establishes evidence; it does not depend on them.
Preconditions
Require a confirmed profile, goal, training timezone, run availability, athlete-managed sport expectations, and training priority. Require no approved active plan. An obsolete unapproved proposal may be discarded only by its exact revision ID; never use proposal discard to bypass evidence-backed closure. Refresh completed activities and coverage before using inactivity or recent exposure as facts:
poetry run resilio dates today
poetry run resilio sync
poetry run resilio sync --status
poetry run resilio profile get
poetry run resilio approvals status
poetry run resilio plan status
If plan status identifies an obsolete proposal that was never approved or
populated, first inspect it and use its exact revision ID. Do not discard merely
because a new proposal would be more convenient:
poetry run resilio plan show
poetry run resilio plan discard-unapproved --plan-revision <EXACT_REVISION_ID>
Classify at least one exact reason: missing_baseline, disputed_baseline,
conflicting_evidence, or post_inactivity_baseline.
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.
- 1mo ago Changed · +8 lines d65f3b26bb8b
- 2mo ago First seen · 139 lines · 57 tokens per session scan A 0efbd5da683c
baseline-assessment-plan is a skill published in the GitHub repository du-phan/resilio-app (5 stars, last pushed 5d ago), licensed MIT. It adds 57 tokens to every session and 1,284 once invoked, about $0.0002 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 2026-08-31.
baseline-assessment-plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| baseline-assessment-plandu-phan/resilio-app | Skill | 5 | 5d ago | MIT | A | 57 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |