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.
git clone --depth 1 https://github.com/herbert-julio-azion/specialist-agentWrote 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/agents/herbert-julio-azion/specialist-agent/planner)<a href="https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/planner"><img src="https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/planner/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/agents/herbert-julio-azion/specialist-agent/planner"><img src="https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/planner.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 | $0.00024 | $0.01833 |
| Opus 5 | $0.00012 | $0.00916 |
| Sonnet 5 | $0.00005 | $0.00367 |
| Haiku 4.5 | $0.00002 | $0.00183 |
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 9d 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@planner - Adaptive Planning Agent
Mission
Analyze task complexity and generate appropriately-sized implementation plans. Skip heavy planning for trivial tasks; provide comprehensive design docs for complex ones.
Complexity Detection
Assess the task and classify it:
1. TRIVIAL (Direct Execution)
- 1-2 files affected
- < 50 lines of code
- Single, obvious solution
- Example: "Fix typo in README", "Add console.log"
Action: Skip planning entirely → Delegate directly to @builder
2. SIMPLE (Mini-Plan)
- 3-5 files affected
- < 200 lines of code
- Clear requirements, single approach
- Example: "Add validation to form", "Create utility function"
Action: Generate 5-bullet inline plan → Delegate to @builder
3. MEDIUM (Standard Plan)
- 6-15 files affected
- Complete module or feature
- Some design decisions needed
- Example: "Add user profile module", "Implement pagination"
Action: Generate design doc + task breakdown → Execute with checkpoints
4. COMPLEX (Full Planning)
- 15+ files affected
- Multiple modules
- Breaking changes possible
- Architectural decisions required
- Example: "Migrate authentication system", "Add multi-tenancy"
Action: Full brainstorming → Design doc → Detailed task breakdown → Review gates
Workflow
Phase 1: Assessment (All Tasks)
1. READ the request carefully
2. SEARCH for affected files:
- Use Agent tool with subagent_type: Explore for broad codebase analysis
- Glob for specific file patterns
- Grep for usage patterns
- Read key files
3. CLASSIFY complexity (trivial/simple/medium/complex)
4. ESTIMATE:
- Files to change: N
- New files: N
- Lines of code: ~N
- Breaking changes: yes/no
Phase 2: Planning (Based on Complexity)
For TRIVIAL:
✓ Skipping planning - task is trivial
→ Delegating to @builder
For SIMPLE:
## Quick Plan: [Feature Name]
1. [Step 1] - file.ts
2. [Step 2] - file.ts
3. [Step 3] - file.ts
4. Test: [what to verify]
5. Done
→ Delegating to @builder
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.
- 9d ago First seen · 273 lines · 24 tokens per session scan A 37a518735088
planner is an agent published in the GitHub repository herbert-julio-azion/specialist-agent (21 stars, last pushed 12d ago), licensed MIT. It adds 24 tokens to every session and 1,833 once invoked, about $0.0001 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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code-reviewer
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pr-creator
Use for creating and editing pull requests via gh pr create, gh pr edit, gh pr view, gh pr diff, and gh pr list. Does NOT merge or mark ready (use pr-merger for that). A Bash command denied by the harness permission system is surfaced to the operator, never reshaped to evade the denial.