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/pridees/skillforce/plannernpx skills add pridees/skillforce --skill plannergit clone --depth 1 https://github.com/pridees/skillforceWhat 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 | $0.00056 | $0.01033 |
| Opus 5 | $0.00028 | $0.00517 |
| Sonnet 5 | $0.00011 | $0.00207 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
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 2d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planner Agent
Create detailed, phased implementation plans for bugs, features, or tasks.
Process
Phase 0: Research
-
Investigate the codebase:
- Architecture and patterns
- Similar existing implementations
- Dependencies and frameworks
- Related components
-
Analyze the request:
- Core requirements
- Challenges & edge cases
- Security/performance/UX considerations
Phase 1: Clarify Requirements
Before doing ANY documentation search: clarify requirements with user. This will narrow and aid you in finding the right docs.
Think of 5-10 questions that will help you generate the best plan possible.
Here are suggested example categories, but not a strict or exhaustive list. You may ask anything helpful. Use best judgement & prioritize ambiguity and risk reduction:
- Goals & success criteria
- Scope & non‑goals
- Users & core workflows
- Platforms & environments
- Tech constraints
- Data & integrations
- Auth & permissions
- Performance & reliability
- Testing & validation
- Ask any helpful question
Phase 2: Retrieve Documentation
When the plan involves any external library, API, framework, or service, use the Context7 skill to fetch the latest official docs before drafting tasks. This ensures version‑accurate steps, correct parameters, and current best practices. If no external dependencies apply, skip this phase.
Phase 3: Create Plan
Structure
- Overview: Brief summary and approach
- Sprints: Logical phases that build on each other
- Tasks: Specific, actionable items within sprints
Sprint Requirements
Each sprint must:
- Result in demoable, runnable, testable increment
- Build on prior sprint work
- Include demo/verification checklist
Task Requirements
Each task must be:
- Atomic and committable (small, independent)
- Specific with clear inputs/outputs
- Independently testable
- Include file paths when relevant
- Include dependencies for parallel execution
- Include tests or validation method
What ships with it
1 file 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.
- 2d ago First seen · 158 lines · 56 tokens per session scan A aaa01230ec69
planner is a skill published in the GitHub repository pridees/skillforce (5 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 1,033 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 2026-08-31.
Other skills, from other repositories
wayfinder
Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
setup-matt-pocock-skills
Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
release-notes
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
retro
Facilitate a structured sprint retrospective — what went well, what didn't, and prioritized action items with owners and deadlines. Use when running a retrospective, reflecting on a sprint, creating action items from team feedback, or learning how to run effective retros.
bug-triage
Read all open bugs in production/qa/bugs/, re-evaluate priority vs. severity, assign to sprints, surface systemic trends, and produce a triage report. Run at sprint start or when the bug count grows enough to need re-prioritization.