OpenOPC is a system for building and operating an AI-run company, where specialized AI workers are recruited, assigned tasks, and organized into roles. It is for people who want automated task delegation, collaboration, and organizational learning through AI agents.
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 HKUDS/OpenOPC --skill skill-evolutiongit clone --depth 1 https://github.com/HKUDS/OpenOPCWrote 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/hkuds/openopc/skill-evolution)<a href="https://agentmods.dev/skills/hkuds/openopc/skill-evolution"><img src="https://agentmods.dev/badge/skills/hkuds/openopc/skill-evolution/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/hkuds/openopc/skill-evolution"><img src="https://agentmods.dev/badge/skills/hkuds/openopc/skill-evolution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 28 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00038 | $0.00539 |
| Opus 5.5 | $0.00015 | $0.00216 |
| Sonnet 5.5 | $0.00008 | $0.00108 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
skill-evolution 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Evolution
Distill project experience into reusable skills that live under the current project.
Two evolution paths
- Automatic: The system promotes playbook skills when an employee's pattern reaches 2 project reflections with recurring behaviors, checklists, or preferences. These are saved as
<employee>-<role>-<domain>-playbookand require no manual action. - Agent-driven (this skill): You proactively identify valuable patterns and create skills manually. Use this when domain knowledge, workflows, or tool sequences should be preserved before the auto-promotion threshold is reached, or when the knowledge is not tied to a specific employee pattern.
When to evolve a skill (agent-driven)
- A task required non-obvious steps that will likely recur
- You discovered a workflow that worked well and should be preserved
- Domain-specific knowledge was gathered that future tasks will need
- A sequence of tool calls forms a reliable pattern worth codifying
Process
- Identify the pattern: What knowledge or workflow is worth preserving?
- Read the skill-creator skill:
file_readtheskill-creator/SKILL.mdfor format and naming guidelines - Name the skill: Lowercase letters, digits, and hyphens only, under 64 characters (e.g.,
api-validation-workflow) - Create the skill directory: Under
.opc/projects/<project_id>/skills/<skill-name>/ - Write SKILL.md with proper frontmatter (
name,description) and concise instructions - Add scripts/references/assets if the skill benefits from bundled resources
Skill location
Evolved skills belong to the project that produced them:
.opc/projects/<project_id>/skills/<skill-name>/SKILL.md
Guidelines
- Keep it concise: only include what the agent doesn't already know
- Use concrete examples over abstract explanations
- Include the minimal set of steps needed to reproduce the workflow
- Add
scripts/for deterministic operations that get rewritten repeatedly - Add
references/for domain docs the agent should consult - Follow the same naming conventions as auto-promoted skills (hyphen-case)
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 First seen · 51 lines · 38 tokens per session scan A bc754b6d94b1
skill-evolution is a skill published in the GitHub repository HKUDS/OpenOPC (1,852 stars, last pushed 8d ago), licensed MIT. It adds 38 tokens to every session and 539 once invoked, about $0.0002 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 2026-08-30.
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