Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ranjanrishikesh/taketomarket/plugin install taketomarketWrote 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/ranjanrishikesh/taketomarket/ttm-humanize)<a href="https://agentmods.dev/skills/ranjanrishikesh/taketomarket/ttm-humanize"><img src="https://agentmods.dev/badge/skills/ranjanrishikesh/taketomarket/ttm-humanize/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/ranjanrishikesh/taketomarket/ttm-humanize"><img src="https://agentmods.dev/badge/skills/ranjanrishikesh/taketomarket/ttm-humanize.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 | $0.00074 | $0.00302 |
| Opus 5.5 | $0.00030 | $0.00121 |
| Sonnet 5.5 | $0.00015 | $0.00060 |
| Haiku 4.5 | $0.00007 | $0.00030 |
Grade A, and why
ttm-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 2mo 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
/ttm-humanize
Read and follow the workflow at ${CLAUDE_PLUGIN_ROOT}/workflows/lifecycle/humanize.md.
Required reading:
${CLAUDE_PLUGIN_ROOT}/references/humanizer-patterns.md-- pattern catalog..taketomarket/BRAND.md-- voice + tone + banned words..taketomarket/POSITIONING.md-- must-not-say.
Invocation modes
Mode A -- Auto (called by other skills):
Other producing skills call /ttm-humanize with the draft path as input. The skill rewrites in place and returns control.
Mode B -- Manual:
User runs /ttm-humanize <file> or pastes text. Skill rewrites and either writes back or prints the result.
Next steps
Standard footer: see ${CLAUDE_PLUGIN_ROOT}/templates/next-step-footer.md.
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.
- 2mo ago First seen · 34 lines · 74 tokens per session scan A e3f97290dac9
ttm-humanize is a skill published in the GitHub repository ranjanrishikesh/taketomarket (16 stars, last pushed 5mo ago), licensed MIT. It adds 74 tokens to every session and 302 once invoked, about $0.0003 per session on Opus 5.5. 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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