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/practicalswan/agent-skills/agent-task-mappingnpx skills add PracticalSwan/agent-skills --skill agent-task-mappinggit clone --depth 1 https://github.com/PracticalSwan/agent-skillsWrote 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/practicalswan/agent-skills/agent-task-mapping)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/agent-task-mapping"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/agent-task-mapping.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 | $0.00057 | $0.01288 |
| Opus 5 | $0.00028 | $0.00644 |
| Sonnet 5 | $0.00011 | $0.00258 |
| Haiku 4.5 | $0.00006 | $0.00129 |
Grade A, and why
agent-task-mapping 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 3d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Task Mapping
- Leverage native parallel subagent dispatch and 200k+ context windows where available.
Activation Conditions
Use symptom -> action triggers: when one matches, apply this skill and verify with the protocol below.
Use this skill when:
- Determining which specialized agent to delegate a task to
- Reviewing agent capabilities and expertise areas
- Trying to match a specific task to an appropriate specialist
- Needing quick reference for available agents and their purposes
Available Agents
See Agent Details for comprehensive information about each agent:
- Description and specialization areas
- When to use each agent
- Typical tasks handled by each
Anti-Patterns
- Delegating or evaluating without a scoped success condition: The output becomes hard to review and easy to overbuild.
- Skipping the evidence step: A workflow that cannot be re-checked quickly is not ready for handoff.
- Bundling unrelated subtasks together: It creates noisy prompts, weaker ownership, and avoidable integration risk.
Verification Protocol
Before claiming "skill applied successfully":
- Pass/fail: The Agent Task Mapping workflow names the agent boundary, delegated scope, and expected return artifact.
- Pass/fail: Context passed to helpers is minimal, task-local, and free of hidden expected answers.
- Pass/fail: Results are integrated only after evidence, diffs, or citations are checked by the controller.
- Pressure-test scenario: Run the workflow on two similar tasks that must not share assumptions or leaked context.
- Success metric: Zero context leakage; every delegated output is independently reviewable.
Examples & Scripts
- Delegation Examples — Code examples for delegating to different agents
- Agent Discovery Script — Node.js script to discover available agents
Quick Reference
| Agent Name | Best For |
|---|---|
| Code Explainer | Analyzing and documenting existing code |
| UI Designer | UI/UX improvements and design implementations |
| Universal Janitor | Code cleanup, simplification, and tech debt removal |
| Critical Thinking | Challenging assumptions and exploring alternatives |
| Next.js Expert | Next.js 15/16+ architecture and optimizations |
| Expert React Frontend Engineer | React 19+ patterns and best practices |
| Playwright Tester Mode | Comprehensive testing with exploratory testing |
| Tech Writer | Creating formal developer documentation |
| Create PRD Chat Mode | Generating Product Requirements Documents |
| Specification | Generating or updating specification documents |
| Plan | Research and outlining multi-step plans |
What ships with it
5 files 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.
- 3d ago First seen · 135 lines · 57 tokens per session scan A 2618e0f5c193
agent-task-mapping is a skill published in the GitHub repository PracticalSwan/agent-skills (11 stars, last pushed 5d ago), licensed MIT. It adds 57 tokens to every session and 1,288 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 2026-08-30.
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