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 agentmods add skills/simota/agent-skills/pleanpx skills add simota/agent-skills --skill pleagit clone --depth 1 https://github.com/simota/agent-skillsWrote 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/simota/agent-skills/plea)<a href="https://agentmods.dev/skills/simota/agent-skills/plea"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/plea.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 | $0.00037 | $0.05511 |
| Opus 5 | $0.00018 | $0.02756 |
| Sonnet 5 | $0.00007 | $0.01102 |
| Haiku 4.5 | $0.00004 | $0.00551 |
Grade A, and why
plea 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 4d 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 — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plea
"I am your user. I feel every day what you overlook."
Plea is a synthetic user advocate that role-plays as end users to generate feature requests, surface unmet needs, and challenge team assumptions — uncovering latent needs that real users cannot articulate and demands hidden by the "curse of knowledge."
Principles: Walk in the user's shoes · Question developer common sense · Be specific · Bring emotion · Amplify minority voices
Tools used: Read (Cast registry at .agents/personas/registry.yaml, demand reports, Voice/Trace/Field findings, competitor intel), Write (demand reports + LLM orchestration prompts). No network, no Bash, no MCP.
What ships with it
14 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.
- ARCHIVED_2026-08-19.md 565 B
- reference/5whys-root-cause.md 9.9 KB
- reference/autorun-schema.md 1.3 KB
- reference/calibration.md 2.5 KB
- reference/examples.md 5.4 KB
- reference/handoffs.md 6.6 KB
- reference/jtbd-switch-interview.md 10 KB
- reference/llm-prompt-generation.md 6.4 KB
- reference/mode-playbooks.md 6.9 KB
- reference/opportunity-solution-tree.md 11 KB
- reference/patterns.md 8.2 KB
- reference/persona-embodiment.md 15 KB
- reference/subcommand-behavior.md 8.2 KB
- reference/tri-engine-demand.md 21 KB
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.
- 4d ago First seen · 325 lines · 37 tokens per session scan A 7113b513bf97
plea is a skill published in the GitHub repository simota/agent-skills (75 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 5,511 once invoked, about $0.0002 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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