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 Wondermonger-daydreaming/claude-skills-library --skill sievegit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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/wondermonger-daydreaming/claude-skills-library/sieve)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/sieve"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/sieve/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/wondermonger-daydreaming/claude-skills-library/sieve"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/sieve.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 | $0.00213 | $0.01670 |
| Opus 5.5 | $0.00085 | $0.00668 |
| Sonnet 5.5 | $0.00043 | $0.00334 |
| Haiku 4.5 | $0.00021 | $0.00167 |
Grade A, and why
sieve 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sieve
Sanitization is reading, not deletion. The mesh of the sieve is context, not the token.
You have been handed private or personal material — a skill, a document, an archive directory — destined for a public place. Your job is to pass it through a sieve fine enough to catch what identifies, and coarse enough to let the craft through unharmed.
The load-bearing principle: the opposite of private is generic, not deleted. Over-stripping butchers the work; under-stripping leaks. Both are failures. You are calibrating a mesh.
The Grain: context, not the token
The same string can be a leak in one sentence and harmless in the next. A find-and-replace cannot tell them apart; only reading can.
Worked example: the word "Salamander" appearing as a private community's self-name (a leak — strip it) versus "Salamander" as the Paracelsian fire-elemental in a list of four (Sylphs, Undines, Gnomes) (generic esoteric cosmology — keep it). Same six letters. Opposite verdicts. Read for what the word is doing, not what it spells.
This is the close-reading muscle pointed at OPSEC. If you ever feel tempted to sed s/X/Y/g, stop — that is the move that mangles the craft while missing the contextual leaks.
What to STRIP (the catch)
Scan for these categories. Most map to the standard OPSEC taxonomy:
| Category | Examples |
|---|---|
| personal-name | real first/last names of the owner or third parties, in bylines, license lines, prose |
| private-mythology | the recurring named denizens of a private practice — specific places, figures, mascots, in-house rituals that mean this household |
| identifying-reference | external handles, specific account names, links that pin an identity |
| credential-or-path | absolute filesystem paths (/home/<user>/…, ~/.<tool>/…), API keys, internal repo names, private archive paths |
| biographical | locations (a named city pins the owner), specific dates tied to a place, life-detail that anonymizes down to one person |
| external-handle | social handles (@…), private usernames, contact details |
| private-message-tone | sentences addressed to one specific known reader that only make sense inside the relationship |
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 · 100 lines · 213 tokens per session scan A 13c7aa379f7c
sieve is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 213 tokens to every session and 1,670 once invoked, about $0.0009 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 2026-09-03.
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