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 vasilyu1983/AI-Agents-public --skill ai-coding-agents-tasksgit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote 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/vasilyu1983/ai-agents-public/ai-coding-agents-tasks)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/ai-coding-agents-tasks"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/ai-coding-agents-tasks/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/vasilyu1983/ai-agents-public/ai-coding-agents-tasks"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/ai-coding-agents-tasks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.06854 |
| Opus 5 | $0.00021 | $0.03427 |
| Sonnet 5 | $0.00008 | $0.01371 |
| Haiku 4.5 | $0.00004 | $0.00685 |
Grade A, and why
ai-coding-agents-tasks 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Coding Agents Tasks
Use this skill to design or review how a coding-agent runtime represents work as tasks: local agent tasks, shell tasks, remote tasks, teammate tasks, background execution, task lists, and task coordination.
This skill is about runtime task systems, not product backlog planning.
ASCII Flow
work request
|
v
task model
type + owner + status + inputs + blockers + cancellation semantics
|
v
task store
local task list | background task | remote task | teammate task
|
v
scheduling
claim -> run -> progress events -> complete | fail | blocked | release
|
v
UI/session reflection
background badge, task detail, foregrounding, retry, escalation
Quick Reference
| Question | Read | Outcome |
|---|---|---|
| What task types should a coding-agent runtime support? | references/task-types-and-lifecycle.md |
Task families, statuses, background eligibility, and host ownership |
| How should task lists and teammate routing work? | references/task-list-coordination-and-teammate-routing.md |
File-watched task lists, claiming, blockers, teammate routing, and response loops |
| How do Anthropic-hosted routines (schedule / API / GitHub) behave? | references/claude-code-routines.md |
Trigger types, /fire endpoint, beta header, cap-drop behaviour, fresh-session model, comparison with Actions / n8n / cron |
| How do I trigger agents from webhooks, queues, or schedules at scale? | references/webhook-and-queue-triggers.md |
Shape A — SQS / Streams / Kafka / EventBridge, idempotency, dedup, DLQ, provider rate-limit slots |
| How do I make agent runs durable across crashes and multi-step? | references/durable-trigger-integration.md |
Temporal / Inngest / Restate / Step Functions, agent-as-activity, sagas, signals, replay |
| Where do I actually host the trigger + agent (Vercel, Fly, CF, Render)? | ../software-paas-hosting/references/agent-hosting-matrix.md |
Per-shape PaaS stacks + reference architectures |
| How do I statically validate a recipe blueprint YAML? | scripts/recipe_scanner.py |
stdlib-only validator: required fields, parameter types, extension risk gates, placeholder detection |
| How does OpenAI Codex model cloud tasks, apply/diff, and agent graphs? | references/openai-codex-cloud-tasks-and-agent-graph.md |
Task CLI lifecycle, best-of-N attempts, partial apply states, environment filters, and persisted parent-child topology |
| Where is the runtime surface for Loop Engineering and Graph Engineering — including cyclic/workflow graphs? | references/loop-and-graph-runtime-surfaces.md |
Surface matrix, queue-vs-cyclic-graph data model, portable loop contract, scheduled-loop state rules |
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 354 B
- data/sources.json 9.7 KB
- learnings.consolidated.md 598 B
- learnings.md 386 B
- references/claude-code-routines.md 9.1 KB
- references/durable-trigger-integration.md 18 KB
- references/loop-and-graph-runtime-surfaces.md 12 KB
- references/openai-codex-cloud-tasks-and-agent-graph.md 4.9 KB
- references/task-list-coordination-and-teammate-routing.md 1.7 KB
- references/task-types-and-lifecycle.md 1.8 KB
- references/webhook-and-queue-triggers.md 18 KB
- scripts/recipe_scanner.py 12 KB runs code
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.
- 10d ago First seen · 337 lines · 42 tokens per session scan A 55bdde4e74df
ai-coding-agents-tasks is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 8d ago), licensed MIT. It adds 42 tokens to every session and 6,854 once invoked, about $0.0002 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.
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