Borrowing it
Nothing to install: this file belongs to shashankswe2020-ux/whoop-mcp. 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/shashankswe2020-ux/whoop-mcp/main/.github/skills/using-agent-skills/SKILL.mdgit clone --depth 1 https://github.com/shashankswe2020-ux/whoop-mcpWrote 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/shashankswe2020-ux/whoop-mcp/using-agent-skills)<a href="https://agentmods.dev/skills/shashankswe2020-ux/whoop-mcp/using-agent-skills"><img src="https://agentmods.dev/badge/skills/shashankswe2020-ux/whoop-mcp/using-agent-skills/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/shashankswe2020-ux/whoop-mcp/using-agent-skills"><img src="https://agentmods.dev/badge/skills/shashankswe2020-ux/whoop-mcp/using-agent-skills.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 | $0.00048 | $0.01809 |
| Opus 5 | $0.00024 | $0.00905 |
| Sonnet 5 | $0.00010 | $0.00362 |
| Haiku 4.5 | $0.00005 | $0.00181 |
Grade A, and why
using-agent-skills 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 13d 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.
This is a copy
91% identical to using-agent-skills — 48 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using Agent Skills
Overview
Agent Skills is a collection of engineering workflow skills organized by development phase. Each skill encodes a specific process that senior engineers follow. This meta-skill helps you discover and apply the right skill for your current task.
Skill Discovery
When a task arrives, identify the development phase and apply the corresponding skill:
Task arrives
│
├── Vague idea/need refinement? ──→ idea-refine
├── New project/feature/change? ──→ spec-driven-development
├── Have a spec, need tasks? ──────→ planning-and-task-breakdown
├── Implementing code? ────────────→ incremental-implementation
│ ├── UI work? ─────────────────→ frontend-ui-engineering
│ ├── API work? ────────────────→ api-and-interface-design
│ ├── Need better context? ─────→ context-engineering
│ └── Need doc-verified code? ───→ source-driven-development
├── Writing/running tests? ────────→ test-driven-development
│ └── Browser-based? ───────────→ browser-testing-with-devtools
├── Something broke? ──────────────→ debugging-and-error-recovery
├── Reviewing code? ───────────────→ code-review-and-quality
│ ├── Security concerns? ───────→ security-and-hardening
│ └── Performance concerns? ────→ performance-optimization
├── Committing/branching? ─────────→ git-workflow-and-versioning
├── CI/CD pipeline work? ──────────→ ci-cd-and-automation
├── Writing docs/ADRs? ───────────→ documentation-and-adrs
└── Deploying/launching? ─────────→ shipping-and-launch
Core Operating Behaviors
These behaviors apply at all times, across all skills. They are non-negotiable.
1. Surface Assumptions
Before implementing anything non-trivial, explicitly state your assumptions:
ASSUMPTIONS I'M MAKING:
1. [assumption about requirements]
2. [assumption about architecture]
3. [assumption about scope]
→ Correct me now or I'll proceed with these.
Don't silently fill in ambiguous requirements. The most common failure mode is making wrong assumptions and running with them unchecked. Surface uncertainty early — it's cheaper than rework.
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.
- 13d ago First seen · 175 lines · 48 tokens per session scan A 7bd7da5999ac
using-agent-skills is a skill published in the GitHub repository shashankswe2020-ux/whoop-mcp (153 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 1,809 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to using-agent-skills, differing in 48 lines, and is treated as a copy.
Other skills, from other repositories
quick-capture
Use this skill to drop a new task into GSD Task Manager from any AI assistant that has the gsd-mcp-server connected.
triage-inbox
Use this skill to walk the user through their unfiled or stale tasks and move them into the right Eisenhower quadrant.
6502-assembly
Use when writing or debugging 6502 assembly for the Commodore PET with ca65/ld65 via pet build or pet run. Covers the PET program skeleton, the BASIC SYS stub, calling ROM routines, and 6502 gotchas.
pet-development
Use when developing, running, or debugging Commodore PET software (Commodore BASIC or 6502 assembly) on the VICE emulator with the pet CLI or the pet-tools MCP server. Covers the build/run/observe/debug loop, the stopped-state discipline, PET text encodings, and per-model differences.
6502-debugging
Use when a PET program misbehaves at runtime — crashes, corruption, wrong values, dead input, visual glitches — and you need a procedure, not a guess. Symptom-indexed playbook of runtime debugging procedures using pet-tools.
resume-parser-ats
Deeply parses resume PDFs using the OpenResume 4-step algorithm, extracts structured information (Name, Email, Phone, Education, Work Experience, Skills, etc.), evaluates ATS compatibility, and provides actionable improvement suggestions. Use when a user asks to parse, review, or analyze a resume, check…