Agent skill · Testing & QA

sitemap-task-bias

Use when creating or auditing an agent-team sitemap, Task Bias ledger, concept coverage, product surface map, validation chain, or missing-concept check.

Agentlas1,166★ · +196/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add agentlas-ai/Agentlas-OS --skill sitemap-task-bias --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/sitemap-task-bias/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,165
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Sitemap Task Bias ## Procedure 1. List the user-facing surfaces, workflows, agent roles, skills, memory scopes, runtime adapters, policy gates, and verification lanes. 2. Compare the request against required concept coverage: - sitemap; - PM Soul; - memory architecture; - all-LLM runtime architecture; - public/private boundary; - install and verification path. 3. Add task biases that protect the build from dropping important concerns. 4. Record skipped or blocked concepts in `.agentlas/validation-ledger.jsonl`. ## Output Return `covered`, `missing`, `task_biases`, and `evidence_files`.

What's inside
Steps it walks through
  1. Procedure
  2. Output
More from Agentlas-OS
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About this skill
What does the sitemap-task-bias skill do?

Use when creating or auditing an agent-team sitemap, Task Bias ledger, concept coverage, product surface map, validation chain, or missing-concept check.

How do I install it?

Run `npx skills add agentlas-ai/Agentlas-OS --skill sitemap-task-bias --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From agentlas-ai/Agentlas-OS, a repository with 1,165 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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