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 skills add d-o-hub/github-template-ai-agents --skill goap-agentgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/goap-agent)<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/goap-agent"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/goap-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/goap-agent"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/goap-agent.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00110 | $0.01516 |
| Opus 5.5 | $0.00044 | $0.00606 |
| Sonnet 5.5 | $0.00022 | $0.00303 |
| Haiku 4.5 | $0.00011 | $0.00152 |
Grade A, and why
goap-agent 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 24d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GOAP Agent Skill: Goal-Oriented Action Planning
Enable intelligent planning and execution of complex multi-step tasks through systematic decomposition, dependency mapping, and coordinated multi-agent execution.
Always use the plans/ folder for all files. Use plans/GOAP_STATE.md to track persistent state.
Quick Reference
execution-strategies.md- Detailed guide on execution patternsreferences/guide.md- Complete examples, templates, and advanced topics
When to Use
Use this skill when facing:
- Complex Multi-Step Tasks: Tasks requiring 5+ distinct steps
- Cross-Domain Problems: Issues spanning multiple areas
- Optimization Opportunities: Tasks benefiting from parallel execution
- Quality-Critical Work: Projects requiring validation checkpoints
Core GOAP Methodology
The GOAP Planning Cycle
1. ANALYZE → 2. DECOMPOSE → 3. STRATEGIZE → 4. COORDINATE → 5. EXECUTE → 6. SYNTHESIZE
Phase 1: Task Analysis (Analyze & Strategize)
Before decomposing tasks, ensure architectural decisions are sound:
- Analyze: Use
triz-solver(solve or audit mode) to evaluate the problem and resolve contradictions. - Decide: Formulate an ADR (Architecture Decision Record) detailing Context, Decision, and Consequences.
- Gate: Wait for human approval of the ADR before proceeding to decomposition.
## Task Analysis
**Primary Goal**: [Clear statement of what success looks like]
**Constraints**: [Time, Resources]
**Complexity**: Simple/Medium/Complex
**ADR Link**: [Link to approved Architecture Decision Record]
Context: Use Explore agent, check past patterns, perform TRIZ analysis, and record architectural decisions.
Phase 2: Task Decomposition
Decompose high-level objectives into manageable, testable sub-tasks.
Decomposition Framework
- Requirements Analysis: Extract primary objective, implicit requirements, constraints, success criteria.
- Goal Hierarchy: Top-down decomposition into sub-goals and atomic tasks.
- Dependency Mapping: Sequential (A→B→C), Parallel (A,B,C), Converging (A,B,C→D).
- Success Criteria: Define inputs, outputs, quality standards.
What ships with it
3 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.
- 24d ago Changed · +6 lines · +110 tokens per session ed167a9a3c01
- 25d ago Changed · -2 lines fa5aeaac46d6
- 1mo ago First seen · 201 lines · 0 tokens per session scan A 0b023156403b
goap-agent is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 110 tokens to every session and 1,516 once invoked, about $0.0004 per session on Opus 5.5. 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
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows. Use when piping output between agents/tools as streaming JSON or building a sequential transform pipeline.
accint-solve
Route agent work through AccInt's MCP memory loop: retrieve prior outcomes, resolve frames, and close commitments with evidence.
git-flow-pr
Executes the full PR-driven development workflow: create an isolated feature branch from the current work, commit all staged changes, rebase cleanly onto the selected base branch (skipping any ancestor commits already merged), push the branch, and open a GitHub pull request linked to a related issue. Includes guidance…
memory-continuity
Preserves cross-session continuity with deterministic MEMORY.md, index.md, and snapshot handoffs under .agentic/memories/.
new-gh-issue-orchestration
Orchestrates a GitHub-issue-driven delivery workflow from issue intake to PR creation using reviewer-first then worker execution. Invoked when the user provides a GitHub issue link/number and asks to start end-to-end delivery.
git-worktree-workspaces
Sets up and uses Git worktrees for parallel task workspaces in the same repository clone, including safe cleanup of local worktrees. Invoked when the user asks to work on multiple branches at once, isolate tasks without extra clones, or create/remove worktrees.