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 spencerpauly/skills-repo --skill write-like-a-humangit clone --depth 1 https://github.com/spencerpauly/skills-repoWrote 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/spencerpauly/skills-repo/write-like-a-human)<a href="https://agentmods.dev/skills/spencerpauly/skills-repo/write-like-a-human"><img src="https://agentmods.dev/badge/skills/spencerpauly/skills-repo/write-like-a-human/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/spencerpauly/skills-repo/write-like-a-human"><img src="https://agentmods.dev/badge/skills/spencerpauly/skills-repo/write-like-a-human.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 | $0.00079 | $0.00762 |
| Opus 5 | $0.00039 | $0.00381 |
| Sonnet 5 | $0.00016 | $0.00152 |
| Haiku 4.5 | $0.00008 | $0.00076 |
Grade A, and why
write-like-a-human scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://raw.githubusercontent.com/blader/humanizer/main/SKILL.md How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Like a Human
Rewrite text so it stops sounding like a language model wrote it. Wraps the open-source humanizer skill, which catalogs ~30 specific tells (em-dash overuse, "stands as a testament", -ing analyses, rule-of-three padding, inline-bold lists, and so on).
When to use
- The user pastes a chunk of writing and asks to "humanize", "de-AI", "tighten", or "make this sound like me".
- The user asks for editing on something they wrote with an LLM.
- A blog post / launch email / README draft has tells the user wants gone.
Steps
-
Load the reference list of patterns the first time this skill activates in a session. On Spencer's machine, read the canonical local copy (newer than upstream):
cat ~/.agents/skills/humanizer/SKILL.mdOtherwise pull it from upstream:
curl -fsSL https://raw.githubusercontent.com/blader/humanizer/main/SKILL.mdThere are ~30 patterns; you don't need to memorize them, just keep them visible while editing.
-
Ask for a voice sample if you don't already have one. One paragraph the user wrote themselves is enough. Match cadence, vocabulary, and how they handle transitions. For content written as Spencer, the voice layer is the
spencers-writing-styleskill in the stack repo (.agents/skills/spencers-writing-style/) — use it instead of asking. -
Do a first pass removing the highest-signal tells in this order:
- Sycophantic openers ("Great question!", "Absolutely!").
- Em-dashes that should be commas, periods, or parens.
- "It's not just X, it's Y" / "Not only … but …" parallelisms.
- Inflated significance words: testament, pivotal, landscape, vibrant, tapestry, underscore.
- Rule-of-three lists that pad ideas into groups of three.
- Inline-bold vertical lists (
- **Speed:** …).
-
Do a second "audit" pass. Re-read your draft and ask out loud: "What still makes this sound AI-generated?" Answer briefly, then revise once more. This step is the difference between "cleaned up" and "actually sounds human".
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 · 55 lines · 79 tokens per session scan A 22de44447003
write-like-a-human is a skill published in the GitHub repository spencerpauly/skills-repo (25 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 762 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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