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 xinghang-ee-cs/dev-runtime-skill --skill long-task-orchestratorgit clone --depth 1 https://github.com/xinghang-ee-cs/dev-runtime-skillWrote 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/xinghang-ee-cs/dev-runtime-skill/long-task-orchestrator)<a href="https://agentmods.dev/skills/xinghang-ee-cs/dev-runtime-skill/long-task-orchestrator"><img src="https://agentmods.dev/badge/skills/xinghang-ee-cs/dev-runtime-skill/long-task-orchestrator/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/xinghang-ee-cs/dev-runtime-skill/long-task-orchestrator"><img src="https://agentmods.dev/badge/skills/xinghang-ee-cs/dev-runtime-skill/long-task-orchestrator.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 | $0.00224 | $0.05338 |
| Opus 5.5 | $0.00090 | $0.02135 |
| Sonnet 5.5 | $0.00045 | $0.01068 |
| Haiku 4.5 | $0.00022 | $0.00534 |
Grade A, and why
long-task-orchestrator 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 1mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
27 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 709 B
- references/00-runtime-priority-rules.md 2.6 KB
- references/agent-decisions.md 1.6 KB
- references/bugfix-patch-runtime.md 2.4 KB
- references/checkpoint-runtime.md 5.4 KB
- references/context-lifecycle.md 9.0 KB
- references/current-runtime-context.md 9.7 KB
- references/delegation-rules.md 1.5 KB
- references/execution-events.md 2.0 KB
- references/frontend-experience-execution.md 8.0 KB
- references/landing-checklist-preflight.md 18 KB
- references/project-execution-baseline.md 9.0 KB
- references/retrospective.md 2.8 KB
- references/system-topology.md 3.6 KB
- references/task-execution.md 13 KB
- references/task-state-machine.md 11 KB
- references/temporary-execution-log.md 1.2 KB
- references/validation-gates.md 23 KB
- references/validation-results.md 14 KB
- scripts/forward_state.py 7.6 KB runs code
- scripts/machine_execution_receipt.py 20 KB runs code
- scripts/run_long_validation.py 3.5 KB runs code
- scripts/run-long-validation.ps1 501 B runs code
- scripts/run-long-validation.sh 283 B runs code
- scripts/validate_long_readiness.py 79 KB runs code
- scripts/validate-long-readiness.ps1 523 B runs code
- scripts/validate-long-readiness.sh 287 B 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.
- 1mo ago Changed · -371 lines · +41 tokens per session 976709de6c36
- 1mo ago First seen · 877 lines · 183 tokens per session scan A d6ff4765df97
long-task-orchestrator is a skill published in the GitHub repository xinghang-ee-cs/dev-runtime-skill (11 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 224 tokens to every session and 5,338 once invoked, about $0.0009 per session on Opus 5.5. 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 2026-08-31.
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