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 simota/agent-skills --skill echogit 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/echo)<a href="https://agentmods.dev/skills/simota/agent-skills/echo"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/echo/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/simota/agent-skills/echo"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/echo.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 | $0.00036 | $0.05747 |
| Opus 5.5 | $0.00014 | $0.02299 |
| Sonnet 5.5 | $0.00007 | $0.01149 |
| Haiku 4.5 | $0.00004 | $0.00575 |
Grade A, and why
echo 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 3d 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.
The source is not reproduced here
Licensed MIT
The repository is licensed MIT, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
30 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.
- _common 10 B
- reference/_common 13 B
- reference/analysis-frameworks.md 3.6 KB
- reference/autorun-schema.md 1.9 KB
- reference/cast 10 B
- reference/cognitive-persona-model.md 19 KB
- reference/collaboration-patterns.md 12 KB
- reference/council-mode.md 3.9 KB
- reference/demand-5whys-root-cause.md 10.0 KB
- reference/demand-calibration.md 2.5 KB
- reference/demand-handoffs.md 6.1 KB
- reference/demand-jtbd-switch-interview.md 10 KB
- reference/demand-mode-playbooks.md 6.9 KB
- reference/demand-opportunity-solution-tree.md 11 KB
- reference/demand-patterns.md 8.2 KB
- reference/demand-persona-embodiment.md 15 KB
- reference/demand-subcommand-behavior.md 8.3 KB
- reference/echo 10 B
- reference/heuristic-evaluation.md 6.7 KB
- reference/judge 11 B
- reference/output-templates.md 9.5 KB
- reference/process-workflows.md 12 KB
- reference/question-templates.md 12 KB
- reference/recipes-index.md 2.9 KB
- reference/sus-scoring.md 7.7 KB
- reference/think-aloud-protocol.md 7.8 KB
- reference/tri-engine-demand.md 18 KB
- reference/tri-engine-walkthrough.md 20 KB
- reference/ux-frameworks.md 11 KB
- reference/visual-review.md 17 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.
- 3d ago Changed · +2 lines e0233a0e0617
- 8d ago Changed · -1 lines ee618615fdfc
- 1mo ago Changed · -1 lines c280457ed633
- 1mo ago First seen · 289 lines · 36 tokens per session scan A 0b2aecdfc5de
echo is a skill published in the GitHub repository simota/agent-skills (93 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 5,747 once invoked, about $0.0001 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.
Other skills, from other repositories
prompt-master
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…
pandic-office
Convert Markdown to PDF (or DOCX/EPUB/HTML) using the pandoc CLI. Use when asked to produce a PDF report, brief, summary, or any document where the input is Markdown and the output should be a polished, paginated file.
web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
validate-addon
Validate an entire AIWG addon package for completeness and release readiness.
artifact-metadata
Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle.
hook-regenerate
Rebuild AIWG hook files from currently installed framework manifests.