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 agents/atebites-hub/pjtemplate/implementation_plan_templategit clone --depth 1 https://github.com/atebites-hub/PJTemplateWhat 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 | $0.00000 | $0.00256 |
| Opus 5 | $0.00000 | $0.00128 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
implementation_plan_template 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 yesterday.
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.
What it actually says
Implementation Plan Template
This document provides a sprint-based roadmap for [Project Name], breaking development into actionable steps using Agile/Scrum.
Guidelines for Filling Out This Template
- Replace [Project Name] with your project's name.
- Customize sprints to your timeline (e.g., 2 weeks each, 12 total).
- Add dependencies/testing per sprint.
- For agile: Include goals, duration, human/AI roles; adapt for your team size.
- Reference repo structure: Store this in /docs/agents/implementation_plan.md; link to /file_structure.md for sprint-related files in /source/.
Sprint [Number]: [Name]
Goals: [High-level objectives].
Duration: [e.g., 2 weeks].
Tasks:
- [Task description (human/AI). Assumptions: [e.g., "Stable deps"]; Known Issues: [e.g., "Mobile lag"].]
Dependencies: [Previous sprint].
Testing: [Criteria, e.g., "[Element] renders on mobile"; run /scripts/test-suite.sh. Assumptions: [e.g., "Test env matches prod"]; Known Issues: [e.g., "Flaky integration"].]
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.
- yesterday First seen · 18 lines · 0 tokens per session scan A 491008dedd01
implementation_plan_template is an agent published in the GitHub repository atebites-hub/PJTemplate (2 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 256 tokens. 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 agents, from other repositories
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chorus-task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn via the blocking subagent tool after chorussubmitforverify.
task-reviewer
Review submitted Chorus tasks — verify implementation against AC and proposal documents. Spawn after chorussubmitforverify.
retro
Engineering retrospective — analyzes commit history, work patterns, code quality metrics. Per-person breakdowns, shipping streaks, actionable improvements. READ-ONLY, never modifies code.
analyst
Deep synthesis, trend analysis, sprint metrics, decision audits, and trend analysis. Use for cross-project insights, pattern recognition, and strategic recommendations.
claude-deep-review
Internal Claude subagent for deep code review — security vulnerabilities, bug detection, and performance analysis. Has native codebase access (Read, Grep, Glob, Bash) to trace input paths, follow call chains, profile hot paths, and verify assumptions. Launched automatically by council review workflows — not invoked…