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/tommy0103/obelisk/skillnpx skills add tommy0103/obelisk --skill skillgit clone --depth 1 https://github.com/tommy0103/obeliskWrote 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/tommy0103/obelisk/skill)<a href="https://agentmods.dev/skills/tommy0103/obelisk/skill"><img src="https://agentmods.dev/badge/skills/tommy0103/obelisk/skill.svg" alt="Measured on agentmods" 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 | $0.00159 | $0.05951 |
| Opus 5 | $0.00079 | $0.02975 |
| Sonnet 5 | $0.00032 | $0.01190 |
| Haiku 4.5 | $0.00016 | $0.00595 |
Grade A, and why
obelisk 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.
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
18 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.
- references/api-reference.md 19 KB
- references/pitfalls.md 3.1 KB
- references/query-patterns.md 20 KB
- references/recap-patterns.md 378 B
- references/recap-writing.md 357 B
- references/recap/overview.md 2.9 KB
- references/recap/pattern1-cover.md 1.7 KB
- references/recap/pattern2-thinking.md 1.5 KB
- references/recap/pattern3-vibe.md 1.3 KB
- references/recap/pattern4-workflow.md 2.0 KB
- references/recap/pattern5-closing.md 1.4 KB
- references/recap/writing1-cover.md 2.5 KB
- references/recap/writing2-thinking.md 1.6 KB
- references/recap/writing3-vibe.md 1.9 KB
- references/recap/writing4-workflow.md 2.2 KB
- references/recap/writing5-closing.md 1.7 KB
- references/retrieval-semantics.md 8.5 KB
- references/schema.md 12 KB
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 Changed · +9 lines 7228f3738280
- 6d ago First seen · 469 lines · 159 tokens per session scan A ace45ff5e749
obelisk is a skill published in the GitHub repository tommy0103/obelisk (455 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 159 tokens to every session and 5,951 once invoked, about $0.0008 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.
Other skills, from other repositories
agent-self-improvement
Use when monitor performance of other skills, identify bottlenecks, suggest improvements, and auto-optimize the skill portfolio. Use when monitoring performance of other skills, identify bottlenecks, suggest improvements, and.
core
Use when knowledge base hub — PARA-structured company memory combining company-kb and kb for persistent context, project documentation, and agent recall across sessions. Use when working with knowledge base, company knowledge, or persistent memory.
company-kb
Use when company-kb — Company Knowledge Base Skill. Use when relevant to this domain.
kb
Use when querying and maintaining the knowledge base for project context, decisions, and architecture documentation on session start.
find-skills
Use when automatically discover, evaluate, and activate community skills when local skills don't cover user needs. Includes credibility scoring and safety checks for complete OpenClaw self-sufficiency.
joko-orchestrator
Use when deterministically coordinating autonomous planning and execution across available skills under strict guardrails.