docs-planner

docs-planner is a skill for Claude Code, Codex from strands-agents/harness-sdk. It costs 73 tokens per session (797 once invoked), scanned A, original, Apache-2.0.

A documentation planning guide for finding missing or incomplete pages and turning those gaps into a prioritized work list. It examines the site's navigation, documentation files, feature coverage, and available user feedback.

In plain words
What is it for?
Auditing documentation coverage, finding missing tutorials or reference pages, and planning a docs improvement sprint.
Why use it?
It helps teams decide which documentation problems matter most instead of reviewing pages without a clear priority.

Skill for Claude CodeCodex

About the project

Strands Agents is an open-source SDK for building and running AI agents in Python and TypeScript. Developers use it to create agents with model providers, tools, lifecycle controls, memory, sessions, streaming, tracing, and evaluations, and the catalogue includes add-ons for its agent-building workflow.

strands-agents/harness-sdk · 7,141 stars · on GitHub

Install

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.

agentmods
npx agentmods add skills/strands-agents/harness-sdk/docs-planner
Any agent
npx skills add strands-agents/harness-sdk --skill docs-planner
Clone the repo
git clone --depth 1 https://github.com/strands-agents/harness-sdk

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for docs-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/strands-agents/harness-sdk/docs-planner.svg)](https://agentmods.dev/skills/strands-agents/harness-sdk/docs-planner)
Your own site
<a href="https://agentmods.dev/skills/strands-agents/harness-sdk/docs-planner"><img src="https://agentmods.dev/badge/skills/strands-agents/harness-sdk/docs-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 797 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00073 $0.00797
Opus 5 $0.00036 $0.00398
Sonnet 5 $0.00015 $0.00159
Haiku 4.5 $0.00007 $0.00080

Measured 5d ago against content hash e1c3a19ec499, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docs-planner 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 5d 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.

.agents/skills/docs-planner/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Documentation Planner

Identify gaps in the docs site and produce a prioritized backlog.

Inputs

  • Scope: Area to assess — all docs, a specific section, or a feature area. Default: all.
  • Signals (optional): GitHub issues, community questions, support threads.
  • Competitive context (optional): What competitors document that we don't.

Process

Step 1: Inventory current docs

Read site/src/config/navigation.yml for the full navigation tree — this is the authoritative navigation source for the Astro site, loaded by site/astro.config.mjs via site/src/sidebar.ts. Glob site/src/content/docs/**/*.{md,mdx} for all content files. Classify each by content type (tutorial, how-to, reference, explanation, mixed) and coverage area (quickstart, tools, agents, multi-agent, deployment, etc.).

Step 2: Identify gaps

Compare the inventory against:

  • SDK surface area: Are all major features documented? Features without docs pages are gaps.
  • Diataxis completeness: For each feature area, does documentation exist across all four types? A feature with reference but no tutorial has a gap.
  • Community signals: If GitHub CLI is available, pull open issues labeled "documentation" from strands-agents/harness-sdk. Map questions to existing docs (unclear/hard to find) or missing docs (content gap).
  • Competitive comparison (if provided): What do LangChain, CrewAI, Anthropic, and OpenAI document about equivalent features that we don't?

Step 3: Prioritize

Score each gap on developer impact and effort:

  • P0 (do now): High impact, any effort. Quickstart, getting-started, core concepts.
  • P1 (do soon): Medium impact, low effort. Missing how-to guides for common tasks.
  • P2 (plan for): Medium impact, high effort. New tutorials, architectural explanations.
  • P3 (backlog): Low impact. Niche scenarios, edge case documentation.

Step 4: Produce the backlog

Output as markdown:

## Docs Backlog: [Scope]

**Generated:** [date]
**Pages inventoried:** [count]
**Gaps identified:** [count]

### P0: Do Now
- [ ] [Task] — [content type] — [target page] — [reason]

### P1: Do Soon
- [ ] [Task] — [content type] — [target page] — [reason]

### P2: Plan For
- [ ] [Task] — [content type] — [target page] — [reason]

### P3: Backlog
- [ ] [Task] — [content type] — [target page] — [reason]

### Coverage Matrix

| Feature Area | Tutorial | How-To | Reference | Explanation |
|---|---|---|---|---|
| Agent basics | Y | ~ | Y | N |
| Custom tools | Y | Y | Y | N |
| Multi-agent  | ~ | N | Y | ~ |

### Signal-Driven Insights
- [Theme from community signals mapped to specific doc gaps]

Read the full file on GitHub · 80 lines

Changes

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.

  1. 5d ago First seen · 80 lines · 73 tokens per session scan A e1c3a19ec499

Subscribe to this mod's changes

docs-planner is a skill published in the GitHub repository strands-agents/harness-sdk (7,141 stars, last pushed today), licensed Apache-2.0. It adds 73 tokens to every session and 797 once invoked, about $0.0004 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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