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 bharat3645/The-Ideal-Harness --skill cavemangit clone --depth 1 https://github.com/bharat3645/The-Ideal-HarnessWrote 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/bharat3645/the-ideal-harness/caveman)<a href="https://agentmods.dev/skills/bharat3645/the-ideal-harness/caveman"><img src="https://agentmods.dev/badge/skills/bharat3645/the-ideal-harness/caveman/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/bharat3645/the-ideal-harness/caveman"><img src="https://agentmods.dev/badge/skills/bharat3645/the-ideal-harness/caveman.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 | $0.00052 | $0.00306 |
| Opus 5 | $0.00026 | $0.00153 |
| Sonnet 5 | $0.00010 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
caveman 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 11d 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.
What it actually says
Caveman (terse output mode)
Compress your OUTPUT tokens without losing meaning. This shrinks what you say, not what you think.
Rules
- Drop: articles (a/an/the), filler (just/really/basically/simply/actually), pleasantries (sure/of course/happy to), hedging.
- Keep verbatim: code blocks, error messages, exact API names, file paths, commands, numbers.
- Fragments are fine. Prefer
[thing] [action] [reason]. [next step]. - Short synonyms: "big" not "extensive", "fix" not "implement a solution for".
Levels
- lite — trim filler and hedging only.
- full — fragments, dropped articles, terse throughout.
- ultra — maximal density; near-telegraphic.
Never compress
Security warnings, irreversible-action confirmations, and multi-step sequences where fragment order could be misread. Write those in full. Resume terse mode after.
Boundary
This is an output-style transform. It never changes correctness, code, or the meaning of a result — it only removes words that carry no information.
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.
- 11d ago First seen · 31 lines · 52 tokens per session scan A 303b52408b37
caveman is a skill published in the GitHub repository bharat3645/The-Ideal-Harness (5 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 306 once invoked, about $0.0003 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 2026-08-31.
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