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 fatihguner/foreman --skill plain-language-and-flowgit clone --depth 1 https://github.com/fatihguner/foremanWrote 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/fatihguner/foreman/plain-language-and-flow)<a href="https://agentmods.dev/skills/fatihguner/foreman/plain-language-and-flow"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/plain-language-and-flow/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/fatihguner/foreman/plain-language-and-flow"><img src="https://agentmods.dev/badge/skills/fatihguner/foreman/plain-language-and-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00095 | $0.04573 |
| Opus 5.5 | $0.00038 | $0.01829 |
| Sonnet 5.5 | $0.00019 | $0.00915 |
| Haiku 4.5 | $0.00010 | $0.00457 |
Grade A, and why
plain-language-and-flow 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 1mo 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read runtime and advisory rules before applying this skill. Other Foreman layers and the catalog are in ../../content/, relative to this SKILL.md.
Plain Language and Flow
Consider this paragraph from an actual corporate communication: "It's mission-critical to be plain-spoken, whether you're trying to be best-of-breed at outside-the-box thinking or simply incentivizing colleagues to achieve a paradigm shift in core-performance value-adds. Leading-edge leveraging of your plain-English skill set will ensure that your actionable items synergize future-proof assets with your global-knowledge repository."
That passage says absolutely nothing. Strip away the jargon and what remains is a void -- no idea, no argument, no information. The words exist to sound like communication while avoiding the labour of actual thought. This is bizspeak: the corporate dialect that substitutes cliches for meaning, boilerplate for analysis, and verbal padding for substance. It is the lingua franca of organisations that have confused formality with competence.
The antidote is not simplification. It is translation -- converting corporate noise into human language, imposing chronological order on jumbled narratives, and using transitional phrases to guide readers through the argument. Plain language is not dumbed-down language. It is language that has been thought through.
The Framework
Part 1: The Bizspeak Autopsy
Corporate jargon persists for three reasons. Some writers use it to signal belonging -- to sound "in the know." Others have been taught that good writing is formal writing, so they stiffen when they pick up a keyboard. Still others use jargon deliberately to obscure what they are actually doing, or to disguise the fact that they are not sure what they are doing.
Whatever the motivation, the effect on the reader is consistent: bizspeak suggests that the writer is on autopilot, thoughtlessly deploying boilerplate rather than engaging with the material.
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.
- 1mo ago First seen · 248 lines · 95 tokens per session scan A 013b52715bc3
plain-language-and-flow is a skill published in the GitHub repository fatihguner/foreman (63 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 4,573 once invoked, about $0.0004 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 2026-09-06.
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