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/rdudov/task-agent/project-organizernpx skills add rdudov/task-agent --skill project-organizergit clone --depth 1 https://github.com/rdudov/task-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/skills/rdudov/task-agent/project-organizer)<a href="https://agentmods.dev/skills/rdudov/task-agent/project-organizer"><img src="https://agentmods.dev/badge/skills/rdudov/task-agent/project-organizer.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00510 |
| Opus 5 | $0.00015 | $0.00255 |
| Sonnet 5 | $0.00006 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
project-organizer 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 4d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Organizer
This skill maintains reusable project records outside task artifacts.
Scope
Use this skill when a task requires:
- creating a durable project folder for work that spans multiple tasks
- storing shared context, decisions, or sources outside a single task directory
- accumulating reusable project artifacts that should outlive one task
Task-specific execution notes still belong in the active task directory. Reusable project data belongs under data/projects/.
When a task materially concerns a project, link that durable project record from the task's Projects section and from its projects frontmatter through skills/task-creator/scripts/tasks_index.py, which is what query --project <record-name> reads back.
Storage Model
Projects live under:
data/projects/<project-slug>/
Each project directory must contain:
project.md
Recommended project artifacts:
status.mdcontext.mddecisions.mdsources.mdartifacts/
Create A Project
Use the bundled script:
.venv/bin/python skills/project-organizer/scripts/create_project.py \
--title "Trimaran autopilot" \
--slug "trimaran-autopilot"
Add optional files only when they have real durable value. Do not dump ephemeral task notes into the project record.
For active projects, prefer maintaining status.md as a rolling summary of:
- completed work
- in-progress or remaining work
- newly added durable outcomes or capabilities
Practical Guidance
- Use projects for initiatives that need continuity across tasks.
- Use a durable project for multi-task repository capability work, such as skill-system improvements, task-runner evolution, restore hardening, or documentation consolidation.
- Do not use a project when a single task is sufficient and no durable shared context is needed.
- Keep
project.mdfocused on stable scope, status, related tasks, and durable references. - Keep
status.mdfocused on the current snapshot so a human can quickly see what changed recently and what is still left. - Move shared deliverables into
artifacts/only when they should be reused across tasks; otherwise keep them in the originating task directory. - When a task materially changes project scope or completion state, update
status.mdin the same change.
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.
- 4d ago First seen · 69 lines · 30 tokens per session scan A 188eecd3c26b
project-organizer is a skill published in the GitHub repository rdudov/task-agent (4 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 510 once invoked, about $0.0002 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
neat-freak
Knowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next person starts from one current answer. Trigger when the user names "neat-freak", "洁癖", or "/neat" — and…
manage-project
Research project management for medical manuscripts. Scaffold project structure, track writing progress across phases, maintain project memory files, generate submission checklists and backwards timelines. Commands: init, status, sync-memory, checklist, timeline.
td-task-management
Task management for AI agents across context windows. Use when agents need to track work, log progress, hand off state, and maintain context across sessions. Includes workflows for single-issue focus, multi-issue work sessions, and structured handoffs. Essential for AI-assisted development where context windows reset…
harness-step3-session-management
Harness Engineering 第二阶段:建立跨 session 状态管理,解决 agent 每次对话失忆的问题。 创建 tasks.json(任务清单)、progress.md(进度记录)、init.sh(环境初始化脚本)三个文件。 当用户说"建立任务管理"、"让 agent 记住进度"、"创建 tasks.json"、"跨 session 保持状态"、 "agent 每次都不记得上次做了什么"、"建立 progress 文件"、"初始化状态管理"时,立即使用此 skill。 前置条件:harness-step1 和 harness-step2 已完成(项目有 AGENTS.md 和 docs/ 知识库)。.
harness-design
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture"…
okf-pro
Operating rules for the .okf/ knowledge bundle — filing new concepts, the board, the journal, the daily snapshot, closing work, source attribution, and the generated/verified attestation policy. Use before reading from or writing anything into .okf/.