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 1aifanatic/super-computer --skill code-searchgit clone --depth 1 https://github.com/1aifanatic/super-computerWrote 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/1aifanatic/super-computer/code-search)<a href="https://agentmods.dev/skills/1aifanatic/super-computer/code-search"><img src="https://agentmods.dev/badge/skills/1aifanatic/super-computer/code-search/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/1aifanatic/super-computer/code-search"><img src="https://agentmods.dev/badge/skills/1aifanatic/super-computer/code-search.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 | $0.00046 | $0.00417 |
| Opus 5.5 | $0.00018 | $0.00167 |
| Sonnet 5.5 | $0.00009 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
code-search 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.
What it actually says
Finding things in a Workspace
Search before you read. Reading whole files to locate one symbol wastes context you will need later for the actual work.
Order of operations
list_dir /workspacefirst. Layout tells you where to look and stops you searching the whole tree.globwhen you know roughly what the file is called —*.config.*,*test*,*.md.grepwhen you know what the code says rather than where it lives.read_filelast, and withoffset/limitonce grep has told you the line number.
Patterns that pay off
Find a definition rather than every mention:
grep -rn "function handlePayment" /workspace
grep -rn "class .*Repository" /workspace
grep -rn "export (const|function|class) name" /workspace
Find callers, then narrow:
grep -rn "handlePayment(" /workspace
Find configuration and constants:
grep -rni "timeout|retry|max_|limit" /workspace
Get the shape of a file cheaply before reading it:
grep -n "^(export |function |class |def |const )" /workspace/src/thing.ts
When a search returns too much
Do not read all of it. Narrow instead: add a directory, add context to the pattern, or count first with grep -rc pattern /workspace to see whether the search was even the right one.
Reporting
Answer with file paths and line numbers, not prose summaries of code the Operator can read. src/billing.ts:412 is more useful than three sentences describing what happens there.
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 · 52 lines · 46 tokens per session scan A d628d1263c09
code-search is a skill published in the GitHub repository 1aifanatic/super-computer (1 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 417 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 2026-08-31.
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