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 thewolffish/wolffish-app --skill archivegit clone --depth 1 https://github.com/thewolffish/wolffish-appWrote 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/thewolffish/wolffish-app/archive)<a href="https://agentmods.dev/skills/thewolffish/wolffish-app/archive"><img src="https://agentmods.dev/badge/skills/thewolffish/wolffish-app/archive/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/thewolffish/wolffish-app/archive"><img src="https://agentmods.dev/badge/skills/thewolffish/wolffish-app/archive.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 | $0.00037 | $0.02567 |
| Opus 5 | $0.00018 | $0.01283 |
| Sonnet 5 | $0.00007 | $0.00513 |
| Haiku 4.5 | $0.00004 | $0.00257 |
Grade A, and why
archive 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 8d 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archive
Four tools for .zip files: archive_list (what's inside), archive_read
(one file out of it), archive_extract (unpack), archive_create (pack).
They work in-process — no unzip or zip binary needed, same behaviour on
macOS and Windows.
Look before you unpack
An archive is opaque until you list it, and unpacking is a side effect on the user's disk. So the order is always list → decide → act:
archive_list— cheap on any size, tells you what you're dealing with.- Decide with the user what they actually want (see below).
archive_readif the answer is inside one or two files;archive_extractif they want the files on disk.
Never claim to know what an archive contains without listing it first, and never describe files you have not read.
When the user uploads a zip and says nothing
This is the common case, and unpacking by default is the wrong move — you don't know whether they want it extracted, read, converted, inspected for one file, or sent somewhere. Do this instead:
archive_listit.- Tell them what's in there in one or two lines — the shape, not a file dump ("It's a 212-file React project — src/, public/, package.json, plus a 40 MB video in assets/").
- Ask what they want done with it, and offer the obvious options for what
you just saw ("Unpack it somewhere? Read a specific file? Convert the CSVs?").
Use
ask_userwhen a short list of choices covers it.
Skip the question only when the request already answers it — "unzip this", "what's the README say", "pull the invoices out of this". Then just do it.
Reading vs extracting
archive_read answers questions; archive_extract puts files on the user's
disk. Prefer reading: it's faster, leaves nothing behind, and is usually what a
question about an archive actually needs. Extract when the user wants the files,
when you need to run tools over many of them, or when a file is binary
(archive_read will tell you so rather than dumping bytes).
What ships with it
2 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.
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.
- 8d ago First seen · 220 lines · 37 tokens per session scan A b811ce85c256
archive is a skill published in the GitHub repository thewolffish/wolffish-app (5 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 2,567 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 2026-08-31.
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