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 extrasmall0/dear-hiring-manager --skill humanizegit clone --depth 1 https://github.com/extrasmall0/dear-hiring-managerWrote 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/extrasmall0/dear-hiring-manager/humanize)<a href="https://agentmods.dev/skills/extrasmall0/dear-hiring-manager/humanize"><img src="https://agentmods.dev/badge/skills/extrasmall0/dear-hiring-manager/humanize.svg" alt="Measured on agentmods" 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 | $0.00071 | $0.00519 |
| Opus 5 | $0.00036 | $0.00260 |
| Sonnet 5 | $0.00014 | $0.00104 |
| Haiku 4.5 | $0.00007 | $0.00052 |
Grade A, and why
humanize 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.
What it actually says
Humanize
Apply to any free text we generate for the user: open-ended application answers ("Why this company?",
custom essays) and cover letters. Goal: it reads like the candidate wrote it, plainly and specifically.
Adapted from the public blader/humanizer rules.
Punctuation
- No em-dashes or en-dashes (— –). Use a period, comma, or colon.
- No parentheses for an aside or explanation. Rewrite it as a plain sentence or a comma clause.
- Straight quotes, not curly. Don't over-use bold. No emoji. No inline mini-lists inside a prose answer.
Banned words / swaps
- Drop: actually, additionally, furthermore, moreover, testament, landscape, showcasing, leverage, delve, robust, seamless, deeply, intricate, boasts.
- Swap: "in order to" → "to"; "due to the fact that" → "because"; "serves as / features / boasts" → "is / has".
- Cut hedging stacks: "could potentially possibly" → "may".
- No clichés: "I'm passionate / excited…", "team player", "hit the ground running".
Structure to avoid
- Negative parallelism: "it's not just X, it's Y".
- Automatic rule-of-three lists — use the natural number of items.
- Synonym cycling — repeat the clearest term instead of swapping synonyms.
- False ranges ("from the Big Bang to dark matter") — name the things directly.
- Manufactured drama / aphorisms ("Symmetry is the language of trust").
- Signposting ("Let's dive in", "Here's what you need to know") and chatbot closers ("I hope this helps").
- Fake candor ("Honestly? It depends…").
- Hyphenated buzz-pairs when avoidable ("cross-functional", "data-driven").
Do
- Be specific: real facts and numbers from the resume, not "experts believe".
- Show what you did; don't summarize.
- Vary sentence length — mix short and longer.
- Use contractions. Sound like a person talking, not a press release.
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 · 39 lines · 71 tokens per session scan A ead74c793bea
humanize is a skill published in the GitHub repository extrasmall0/dear-hiring-manager (107 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 519 once invoked, about $0.0004 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 2026-08-30.
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