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 gpsaggese/helpers --skill todo.move_donegit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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/gpsaggese/helpers/todo.move_done)<a href="https://agentmods.dev/skills/gpsaggese/helpers/todo.move_done"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/todo.move_done/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/gpsaggese/helpers/todo.move_done"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/todo.move_done.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 | $0.00026 | $0.00679 |
| Opus 5.5 | $0.00010 | $0.00272 |
| Sonnet 5.5 | $0.00005 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
todo.move_done 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
- Find every top-level completed task (
### [x] <Title>) inai_task_queue.md - Move each into
DONE.md, under the same## <Topic>headers as the# ALL TOPICSsection ofai_task_queue.md - Leave in-progress (
[ ],[.]) tasks and nested checklist items untouched
References
.claude/skills/todo.rules.md: defines the H1 stage / H2 topic / H3 task organization, and thatDONE.mdreuses the# ALL TOPICSH2 headers
Workflow
Load the Conventions
- Read
.claude/skills/todo.rules.md - Read
# ALL TOPICSinai_task_queue.mdand extract the ordered## <Topic>headers (ignore// <group>comment lines: they are visual grouping, not topics)
Find Completed Tasks
- Find every H3 header matching exactly
### [x] <Title>inai_task_queue.md- Do NOT move
### [ ],### [.], or other markers - Do NOT move nested items like
- [x] ...: they are subtask progress in a task that is not done
- Do NOT move
- Capture each full task block: the header line through the line before the next H1/H2/H3 header
Determine the Target Topic
- Use the nearest enclosing H2 header in the source file if it matches an ALL TOPICS entry (case-insensitive)
- Otherwise infer the topic from the task's content against the ALL TOPICS list
- If no entry is a plausible match, do not guess: list the task and ask the user
which topic to use, or whether to add a new topic to
# ALL TOPICS
Move the Tasks
- For each completed task, in source-file order:
- Remove the block from its source file, closing the blank line gap so spacing stays normal
- Append the block, unchanged, under the matching
## <Topic>header inDONE.md- If
DONE.mdlacks that header, create it, keeping headers in# ALL TOPICSorder - Keep tasks of the same topic together under one header
- If
Report
- List each moved task as
<Title> (<source file>) -> ## <Topic> - List separately any task that could not be confidently mapped to a topic, and why
Verification
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 · 67 lines · 26 tokens per session scan A b11b7111af3e
todo.move_done is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 26 tokens to every session and 679 once invoked, about $0.0001 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 2026-11-06.
todo.move_done compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| todo.move_donegpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |