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/eight-acres-lab/openmelon/speckit.taskstoissuesgit clone --depth 1 https://github.com/eight-acres-lab/openmelonWrote 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/eight-acres-lab/openmelon/speckit.taskstoissues)<a href="https://agentmods.dev/agents/eight-acres-lab/openmelon/speckit.taskstoissues"><img src="https://agentmods.dev/badge/agents/eight-acres-lab/openmelon/speckit.taskstoissues.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 | $0.00021 | $0.00272 |
| Opus 5 | $0.00010 | $0.00136 |
| Sonnet 5 | $0.00004 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
speckit.taskstoissues 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 5d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- speckit.taskstoissues — 100% identical, 0 lines differ
- speckit.taskstoissues — 100% identical, 0 lines differ
- speckit.taskstoissues — 100% identical, 0 lines differ
- speckit.taskstoissues — 100% identical, 0 lines differ
- speckit.taskstoissues — 100% identical, 0 lines differ
- speckit.taskstoissues — 94% identical, 2 lines differ
- speckit.taskstoissues — 94% identical, 2 lines differ
- rainbow.tasks-to-issues — 92% identical, 10 lines differ
What it actually says
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Outline
- Run
.specify/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasksfrom repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'''m Groot' (or double-quote if possible: "I'm Groot"). - From the executed script, extract the path to tasks.
- Get the Git remote by running:
git config --get remote.origin.url
[!CAUTION] ONLY PROCEED TO NEXT STEPS IF THE REMOTE IS A GITHUB URL
- For each task in the list, use the GitHub MCP server to create a new issue in the repository that is representative of the Git remote.
[!CAUTION] UNDER NO CIRCUMSTANCES EVER CREATE ISSUES IN REPOSITORIES THAT DO NOT MATCH THE REMOTE URL
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.
- 5d ago First seen · 31 lines · 21 tokens per session scan A 23f5098f197d
speckit.taskstoissues is an agent published in the GitHub repository eight-acres-lab/openmelon (86 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 272 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.
Other agents, from other repositories
reviewer-test-coverage
Review code changes for missing tests, untested edge cases, and test quality.
reviewer-code-quality
Review code changes for bugs, logic errors, edge cases, and code smells.
streaming
Streaming is key to building responsive applications. There are a few types of data you’ll want to stream.
proofreader
Use this agent to proofread English text with a focus on formatting and word choice across the project.
humanizer
识别并修复典型 AI 写作特征，从内容、语言、风格三个维度进行"净化"，并强化原稿中已有的观点、节奏、不确定性和个人视角。Humanizer 只改表达，不创造事实、经历或证据。包含严格的黑名单过滤和 50 分制质量自评。.
wechat-reader-test
多平台读者压力测试器（保留 wechat-reader-test 名称以兼容既有工作流）。 从 01theme.md 读取发布平台，为公众号、今日头条、知乎选择不同的定性测试矩阵； 不伪造 CTR、完读率或推荐量预测。由工作流导演在 Stage 9 显式调用。.