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.
npx agentmods add skills/axgord/claude-workflow/coding-skill-selectornpx skills add AxGord/claude-workflow --skill coding-skill-selectorgit clone --depth 1 https://github.com/AxGord/claude-workflowWrote 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/axgord/claude-workflow/coding-skill-selector)<a href="https://agentmods.dev/skills/axgord/claude-workflow/coding-skill-selector"><img src="https://agentmods.dev/badge/skills/axgord/claude-workflow/coding-skill-selector.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 | $0.00015 | $0.00956 |
| Opus 5 | $0.00008 | $0.00478 |
| Sonnet 5 | $0.00003 | $0.00191 |
| Haiku 4.5 | $0.00002 | $0.00096 |
Grade A, and why
coding-skill-selector 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 4d 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.
What it actually says
Coding skill selector
Load coding skills for the languages/domains THIS TASK will touch.
-
Always:
Skill("preferences")+Skill("architecture") -
Language menu (preferred path): the session's routing prompt included a "Project language menu" block — an engine-run scan with per-extension file counts and tool probes. Pick from it ONLY the languages this task will actually touch: counts are a hint (1 stray file ≠ project language), the task text decides. Do NOT re-scan the project yourself. No menu in this session (spawned agent, scanner unavailable, empty block) → fallback: determine extensions from the task's files yourself. Tool-bound skills (a skill that mandates a CLI tool) load ONLY when the language's menu line ends in an available-probe marker —
(<tool> OK)vs(<tool> missing)— or, when there is no menu or the language's line is absent from it, after onecommand -v <tool>probe succeeds. Tool unavailable → skip the tool skill and work with regular tools; a tool discipline only applies where the tool exists. -
By file extension (menu-picked or fallback):
- .py →
Skill("lang-python") - .hx →
Skill("lang-haxe") - .as →
Skill("lang-as3")
- .py →
-
Top-up rule: if mid-task you touch a file of a language whose skills are not loaded (task turned out wider than it looked) — load that language's skills per rule 3, including its tool conditions, BEFORE editing the file.
-
By domain (detect from imports, paths, or task description):
- YOLO / object detection →
Skill("domain-yolo") - Pixi.js (imports from
pixi.js, PIXI globals) →Skill("domain-pixi") - Person re-identification (ReID) →
Skill("domain-reid") - Game dev (physics, precision, camera, sprites) →
Skill("domain-gamedev") - UI components / display-tree apps (ownership, state, events) →
Skill("domain-ui") - Diagnosing a bug / fixes that don't stick after 2+ rounds →
Skill("debugging") - OpenFL / hxcpp native target →
Skill("target-openfl-native") - Math overflow / numeric boundaries →
Skill("math")
- YOLO / object detection →
-
By tooling/platform:
- CMakeLists.txt / CMake build →
Skill("build-cmake") - .github/workflows / CI / GitHub Actions →
Skill("ci-github-actions") - AWS Lambda / .NET deploy →
Skill("aws-lambda") - MCP server setup / .mcp.json / MCP troubleshooting →
Skill("mcp-setup") - Claude Code settings.json / hooks / permissions / plugin config →
Skill("claude-code-config") - Workflow YAML in templates/ or .claude/workflows/ →
Skill("workflow-authoring") - Setting up / tuning a project linter, or a new project with no lint
config →
Skill("lint-setup")(skip if not installed; it loads the user'spreferences-lintlists itself — neither loads for normal coding/review) - Fetching web docs / external content →
Skill("web-reading") - Verifying a web/canvas app via Playwright or a browser MCP (screenshots, captures, perf) →
Skill("browser-verify")
- CMakeLists.txt / CMake build →
-
If 3+ independent files or parallel work →
Skill("task-delegation")
Call Skill(name) for EVERY matched skill.
Gap check: If files involve a language/domain/tool with no matching skill above, ask the user: "No skill for [X] — proceed without, or create one first?"
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.
- 4d ago First seen · 70 lines · 15 tokens per session scan A ed1b29e60d2c
coding-skill-selector is a skill published in the GitHub repository AxGord/claude-workflow (5 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 956 once invoked, about $0.0001 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
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brainstorming
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auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…