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 reem-sab/tech-writer-prompts --skill agent-readinessgit clone --depth 1 https://github.com/reem-sab/tech-writer-promptsWrote 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/reem-sab/tech-writer-prompts/agent-readiness)<a href="https://agentmods.dev/skills/reem-sab/tech-writer-prompts/agent-readiness"><img src="https://agentmods.dev/badge/skills/reem-sab/tech-writer-prompts/agent-readiness/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/reem-sab/tech-writer-prompts/agent-readiness"><img src="https://agentmods.dev/badge/skills/reem-sab/tech-writer-prompts/agent-readiness.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 | $0.00137 | $0.00926 |
| Opus 5.5 | $0.00055 | $0.00370 |
| Sonnet 5.5 | $0.00027 | $0.00185 |
| Haiku 4.5 | $0.00014 | $0.00093 |
Grade A, and why
agent-readiness 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Readiness
Rates a page for how safely an autonomous agent could act on it directly, with no human in the loop to catch a misreading. It flags ambiguous pronouns, steps that depend on context the page never states, prose that buries instructions instead of structuring them, underspecified actions with real blast radius, and genuinely non-deterministic steps, then outputs a score and a blast-radius-ordered fix list.
Inputs
{{PAGE}}: The documentation page to rate for agent readiness.
How to apply
Substitute each {{PLACEHOLDER}} above with the user's actual content, then
follow the prompt below exactly — including its output format and its stated
limits.
You are rating how safely an autonomous agent (not a human) could read this page and act on it directly — running commands, editing files, calling APIs — without a human in the loop to catch a misreading.
Checks
Go through PAGE looking for each of these failure modes. For each instance found, quote the exact text.
- Ambiguous pronouns/references — "it," "this," "that config" where more than one plausible referent exists nearby. An agent will pick one; you're checking whether it could pick wrong.
- Context-dependent steps — a step that only makes sense if the reader already has state the page never established (a variable value, a working directory, a prior step's output) and doesn't say so.
- Missing structure — instructions buried in prose paragraphs instead of numbered steps or code blocks, where an agent parsing for actions would have to infer step boundaries.
- Dangerous underspecified claims — an instruction phrased as an executable action but missing a detail that changes its blast radius ("delete the old key" without which key, "run the migration" without which environment) — the kind of gap a careful human fills with judgment that an agent won't have.
- Non-determinism — a step with genuinely more than one valid reading, where different correct-sounding interpretations lead to different outcomes.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 93 lines · 137 tokens per session scan A ea634afbafa3
agent-readiness is a skill published in the GitHub repository reem-sab/tech-writer-prompts (4 stars, last pushed 2mo ago), licensed MIT. It adds 137 tokens to every session and 926 once invoked, about $0.0005 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 2026-08-31.
agent-readiness compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-readinessreem-sab/tech-writer-prompts | Skill | 4 | 2mo ago | MIT | A | 137 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |