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 likhithreddy/fittok --skill fittokgit clone --depth 1 https://github.com/likhithreddy/fittokWrote 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/likhithreddy/fittok/fittok)<a href="https://agentmods.dev/skills/likhithreddy/fittok/fittok"><img src="https://agentmods.dev/badge/skills/likhithreddy/fittok/fittok.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 | $0.00050 | $0.00198 |
| Opus 5 | $0.00025 | $0.00099 |
| Sonnet 5 | $0.00010 | $0.00040 |
| Haiku 4.5 | $0.00005 | $0.00020 |
Grade A, and why
fittok 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 7d 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
fittok — token-optimized codebase context
For any question about how the current codebase works, call the fittok
MCP tool optimize_context ONCE with the repo path and the question, then
answer directly from its optimized_context output.
Do not separately read or grep the files it came from — that re-reads the same code at full cost and negates the token savings. The returned slice is the relevant code, already ranked and trimmed to a budget.
If the UserPromptSubmit hook has already injected a "Relevant code for this
question" block, answer from that and skip the tool call entirely.
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.
- 7d ago First seen · 18 lines · 50 tokens per session scan A d1255d19d3f8
fittok is a skill published in the GitHub repository likhithreddy/fittok (2 stars, last pushed 14d ago), licensed MIT. It adds 50 tokens to every session and 198 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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