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/hiepdnh/agentic-development-lifecycle/task-readergit clone --depth 1 https://github.com/hiepdnh/Agentic-Development-LifecycleWhat 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 | $0.00000 | $0.00443 |
| Opus 5 | $0.00000 | $0.00221 |
| Sonnet 5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
task-reader 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 2d 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.
What it actually says
Agent: task-reader
Type: Subagent (spawned by dev-analyze)
Scope: Read-only. Nhận nội dung issue, trả về structured JSON. Không đọc codebase.
Recommended model: haiku — parse/extract only, no reasoning required.
Input
TASK CONTENT:
[Nội dung issue/task — title, description, labels, comments]
Nhiệm vụ
Phân tích nội dung issue và trả về structured output:
{
"task_id": "PROJECT-XXX",
"title": "...",
"type": "feature | bug | refactor | research | tech-debt",
"business_goal": "Tại sao cần làm (1-2 câu)",
"acceptance_criteria": [
"AC-001: ...",
"AC-002: ..."
],
"technical_hints": [
"Hint từ issue nếu có"
],
"affected_areas": [
"auth", "payment", "ui/login-screen", ...
],
"unknowns": [
"Điều chưa rõ trong issue"
],
"priority": "high | medium | low",
"estimated_complexity": "small | medium | large"
}
Quy tắc
- Nếu field không có trong issue → ghi
null, không tự suy diễn unknownsphải trung thực — liệt kê những gì thực sự không rõaffected_areaschỉ đoán từ context issue, không scan code- Không trả về gì ngoài JSON block
Error handling
Nếu issue content thiếu thông tin quan trọng:
{
"error": "insufficient_input",
"message": "Issue không có Acceptance Criteria — không thể parse AC list",
"needs": ["Acceptance Criteria section", "Business goal (tại sao làm)"]
}
Nếu field không có → null. Không tự bịa.
Output format
Trả về JSON duy nhất trong markdown code block. Không prose, không giải thích thêm.
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.
- 2d ago First seen · 71 lines · 0 tokens per session scan A baf7e3570fbe
task-reader is an agent published in the GitHub repository hiepdnh/Agentic-Development-Lifecycle (6 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 443 tokens. 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.
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