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/landim32/awesome-ai-skillsWrote 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/commands/landim32/awesome-ai-skills/speckit.taskstoissues)<a href="https://agentmods.dev/commands/landim32/awesome-ai-skills/speckit.taskstoissues"><img src="https://agentmods.dev/badge/commands/landim32/awesome-ai-skills/speckit.taskstoissues/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/commands/landim32/awesome-ai-skills/speckit.taskstoissues"><img src="https://agentmods.dev/badge/commands/landim32/awesome-ai-skills/speckit.taskstoissues.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 | $0.00021 | $0.00273 |
| Opus 5 | $0.00010 | $0.00137 |
| Sonnet 5 | $0.00004 | $0.00055 |
| 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 12d 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.
This is a copy
94% identical to speckit.taskstoissues — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Outline
- Run
.specify/scripts/powershell/check-prerequisites.ps1 -Json -RequireTasks -IncludeTasksfrom 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.
- 12d ago First seen · 31 lines · 21 tokens per session scan A 244ec825d8bd
speckit.taskstoissues is a command published in the GitHub repository landim32/awesome-ai-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 273 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to speckit.taskstoissues, differing in 2 lines, and is treated as a copy.
Other commands, from other repositories
run-tasks
Execute GitHub issues using full EPCT workflow (Explore-Plan-Code-Test). Converts issue requirements into completed PR.
contribute-to
Join an EXISTING, in-progress work item (issue or PR) as a contributor — walk the contribution loop toward a human-stated goal and success criteria, without the full spec chain.
ship
Command "ship" from ngocsangyem/MeowKit, covering /ship — phase 5: ship pipeline, usage, behavior, pre-conditions and execution steps.
help
List the available commands.
sync-todos-to-github
Convert TodoWrite task list to GitHub plan issue (triggers automation).
workspace-sync
(Workspace) Cross-repo "what changed while I was away" — discover, reconcile, and report.