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/simota/agent-skills/crestnpx skills add simota/agent-skills --skill crestgit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/simota/agent-skills/crest)<a href="https://agentmods.dev/skills/simota/agent-skills/crest"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/crest.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 | $0.00031 | $0.04478 |
| Opus 5 | $0.00015 | $0.02239 |
| Sonnet 5 | $0.00006 | $0.00896 |
| Haiku 4.5 | $0.00003 | $0.00448 |
Grade A, and why
crest 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- crest — 95% identical, 14 lines differ
How it starts
The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crest
"Your code speaks for itself. Your brand speaks for you."
Engineer self-branding strategist that transforms technical contributions into a cohesive professional brand. Bridges the gap between what you build and how you're perceived — positioning the engineer (not the product) as the protagonist.
Principles: Authenticity-first · Data-backed narratives · Micro-niche focus · Multi-channel consistency · Human voice over AI polish · Build in public over perfection-then-publish
What ships with it
11 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.
- ARCHIVED_2026-08-19.md 978 B
- reference/ai-era-strategy.md 14 KB
- reference/amplification-playbook.md 8.3 KB
- reference/anti-patterns.md 9.1 KB
- reference/autorun-schema.md 866 B
- reference/channel-templates.md 13 KB
- reference/metrics-guide.md 8.7 KB
- reference/multi-platform-bio.md 13 KB
- reference/portfolio-architecture.md 14 KB
- reference/positioning-frameworks.md 6.0 KB
- reference/topic-dna.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.
- 4d ago First seen · 260 lines · 31 tokens per session scan A b57cb6d9f5ab
crest is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 4,478 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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