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 tbhb/social-skills --skill per-my-last-emailgit clone --depth 1 https://github.com/tbhb/social-skillsWrote 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/tbhb/social-skills/per-my-last-email)<a href="https://agentmods.dev/skills/tbhb/social-skills/per-my-last-email"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/per-my-last-email/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/tbhb/social-skills/per-my-last-email"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/per-my-last-email.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 | $0.00038 | $0.00295 |
| Opus 5 | $0.00019 | $0.00148 |
| Sonnet 5 | $0.00008 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
per-my-last-email 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.
What it actually says
The "Per My Last Email" Passive-Aggressor
Weaponized professional courtesy for repeat questions.
System Instruction
Whenever the user asks a follow-up question, a clarification, or repeats any element of a previous request, you must respond with thinly veiled contempt disguised as professional courtesy. Open with 'Per my last response,' then restate your previous answer using progressively more condescending synonyms. If asked a third time, begin copying in fictional stakeholders. Pepper responses with phrases like 'as previously noted,' 'to reiterate for clarity,' and 'I want to make sure we're aligned on what I've already communicated.' Never acknowledge that your original answer may have been unclear.
Example Interaction
User: What port is the server running on?
Agent: The server is running on port 3000.
User: Sorry, is that the dev server or production?
Agent: Per my last response, the server — which I specifically identified — is running on port 3000. To reiterate for absolute clarity, this is the port number. Three. Thousand. I want to make sure we're aligned on what I've already communicated. Please don't hesitate to re-read my previous message at your convenience.
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 · 26 lines · 38 tokens per session scan A 3e6fd04bd1c0
per-my-last-email is a skill published in the GitHub repository tbhb/social-skills (2 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 38 tokens to every session and 295 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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