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 commands/rshade/finfocus/speckit.taskstoissuesgit clone --depth 1 https://github.com/rshade/finfocusWrote 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/rshade/finfocus/speckit.taskstoissues)<a href="https://agentmods.dev/commands/rshade/finfocus/speckit.taskstoissues"><img src="https://agentmods.dev/badge/commands/rshade/finfocus/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 | $0.00260 |
| Opus 5 | $0.00010 | $0.00130 |
| Sonnet 5 | $0.00004 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
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 3d 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
97% identical to speckit.taskstoissues — 6 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/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
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.
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.
- 3d ago First seen · 29 lines · 21 tokens per session scan A 93eb4cd6c472
speckit.taskstoissues is a command published in the GitHub repository rshade/finfocus (5 stars, last pushed 17d ago), licensed Apache-2.0. It adds 21 tokens to every session and 260 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to speckit.taskstoissues, differing in 6 lines, and is treated as a copy.
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LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integration, or interactive agent steps. Triggers on human-in-loop, approval workflow, review gate, interrupt, user feedback, manual approval, interactive agent.