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 razvangirgiz/wazap --skill whatsapp-recallgit clone --depth 1 https://github.com/razvangirgiz/wazapWrote 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/razvangirgiz/wazap/whatsapp-recall)<a href="https://agentmods.dev/skills/razvangirgiz/wazap/whatsapp-recall"><img src="https://agentmods.dev/badge/skills/razvangirgiz/wazap/whatsapp-recall/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/razvangirgiz/wazap/whatsapp-recall"><img src="https://agentmods.dev/badge/skills/razvangirgiz/wazap/whatsapp-recall.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 | $0.00054 | $0.00644 |
| Opus 5 | $0.00027 | $0.00322 |
| Sonnet 5 | $0.00011 | $0.00129 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
whatsapp-recall 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 12d 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 — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WhatsApp recall
Deliverable: the exact message or file, quoted with who sent it and when, or a clear "not found" that says where you looked.
Narrow, then search
-
If a person or group is named, resolve it with
search_contacts(people) orlist_chatswithfilter: "groups"(groups) and search inside thatchat_id. Searching one chat beats searching everything. -
search_messageswith the user's words. If nothing matches, run two more variants before giving up: a synonym or the other language the user writes in, and a narrower fragment (a street name instead of "the address", "factura" instead of "the invoice from March"). -
Media has no searchable text beyond its caption and the
[image]/[document] name.pdfplaceholder. For "the photo of…" or "the PDF", search the placeholder and filename words, orread_messageson the chat withlimit: 100and scantypeandmedia.filename. -
Older than what is loaded:
read_messageswithbeforeset to the oldestmessage_idyou have, repeatedly, until the date the user remembers is covered or WhatsApp returns nothing more. -
A voice note is searchable only once it has been transcribed;
search_messagesmatches itstranscriptlike any other text. If the chat holds notes whose text is still[voice message · 0:42], calltranscribe_audio(message_id)on the plausible ones before you conclude anything.
Done searching when you have a match, or all three query variants and the pagination step came back empty.
Deliver
- A message: quote the text verbatim, then sender, chat, timestamp. Example: "Str. Lunii 14, ap. 3, interfon 31" — Ana, 12 Mar 14:05.
- A file or photo:
download_mediaon the message, then open the saved file with your file-reading tool and answer from its contents when the user asked a question about it (an amount, a clause, a date). Give the saved path so the user can open it. - A link: return the URL as sent; do not fetch it unless asked.
- Several candidates: list up to 5 with sender and date and ask which one, rather than guessing.
- Not found: say which chats and which phrases you tried, and whether
MEDIA_UNAVAILABLEblocked a download (the sender must resend), orTRANSCRIBE_UNAVAILABLEleft voice notes unread. Count those in one closing line rather than one per note: 4 voice notes in that chat are not transcribed. Turn it on withwazap config transcribe.
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.
- 12d ago First seen · 31 lines · 54 tokens per session scan A 9bd3df4bb168
whatsapp-recall is a skill published in the GitHub repository razvangirgiz/wazap (0 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 644 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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