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 skills/modiqo/skillspec/rote-computernpx skills add modiqo/skillspec --skill rote-computergit clone --depth 1 https://github.com/modiqo/skillspecWhat 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 | $0.00050 | $0.02717 |
| Opus 5 | $0.00025 | $0.01358 |
| Sonnet 5 | $0.00010 | $0.00543 |
| Haiku 4.5 | $0.00005 | $0.00272 |
Grade A, and why
rote-computer 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
86% identical to generic-skill-creator — 26 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rote computer
Task-first supertool policy for remembered computer work.
This skill is a thin loader for the colocated skill.spec.yml. The spec is the source of truth for routes, rules, dependencies, imports, resources, recipes, tests, and trace requirements. Do not treat the spec as background prose; treat it as the execution contract for this task.
Runtime Contract
-
Load
./skill.spec.ymlfrom this skill folder before taking task actions. -
When the
skillspecCLI is available and the spec shape is unfamiliar, runskillspec sensemake ./skill.spec.yml --view indexto learn the section roles, counts, query handles, and navigation grammar without dumping the full YAML. -
Then create the ordered phase plan and current-route action checklist:
skillspec plan ./skill.spec.yml --input='<user task>' --trace-dir "${PWD}/.skillspec/traces" skillspec act ./skill.spec.yml --input='<user task>' --run <run_dir> --phase <phase-id> -
Strip skill invocation prefixes such as
/my-skill,$my-skill, or/durable-executor-specbefore passing--input. -
Preserve the emitted trace
run_dir. -
Read the full phase plan and action checklist before using tools. Treat them as the active execution SOP, not as advice. The
PHASE TOOL BOUNDARY - HARDsection is the permission boundary for the next action. -
For each execution phase, run
skillspec act ./skill.spec.yml --input='<user task>' --run <run_dir> --phase <phase-id>before acting, record phase progress in<run_dir>/execution.jsonl, then runskillspec progress show ./skill.spec.yml --run <run_dir>to see completed, current, blocked, and remaining phases. -
Pull active details with
skillspec query ./skill.spec.yml <handle> --view summaryand relationship edges withskillspec refs ./skill.spec.yml <handle> --view summary. Prefer precise handles such asrule:<id>,rule:<id>.forbid,command:<id>.requires, andstate:<id>.nextover reading the whole spec. -
Before every substrate/tool call, apply the phase tool boundary and checklist allow/deny questions. Any unlisted tool, data source, execution substrate, provider, adapter, CLI, browser mode, API, or skill requires explicit user permission before use. The selected route and matched rules override lower-level skill defaults and generic tool preferences.
-
When the CLI is available after a trace exists, run
skillspec trace align ./skill.spec.yml --decision-trace <run_dir>and, when structured action evidence exists, add--execution-trace <run_dir>/execution.jsonl. The command writes<run_dir>/alignment.json; report the alignment status, meaning, model layers, evidence gaps, user-facing proof rows, summary, and trace path. -
If
skillspec plan,skillspec act, orskillspec progressis unavailable, fall back toskillspec decide, then manually construct the same ordered phase checklist and progress notes before using tools. If the CLI is unavailable, readskill.spec.ymldirectly and apply the same contract manually. Do not expand this loader into a second source of truth.
What ships with it
1 file 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.
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 · 122 lines · 50 tokens per session scan A f2ddfb859068
rote-computer is a skill published in the GitHub repository modiqo/skillspec (737 stars, last pushed 24d ago), licensed Apache-2.0. It adds 50 tokens to every session and 2,717 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to generic-skill-creator, differing in 26 lines, and is treated as a copy.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
lark-im
飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
reflect
Review recent work, find repeated workflow patterns, and suggest reusable skills, agents, commands, config changes, or playbooks. Use when the user asks to learn from past sessions, improve recurring workflows, or identify what should be turned into reusable agent instructions.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
organize-threads
猫猫辅助整理未分类 thread,分析标题和元数据,建议合适的标签。 Use when: 用户说"帮我整理"、"分类 thread"、点击整理按钮。 Not for: 删除/编辑标签本身。 Output: 按 thread 的标签建议列表。.