Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/pnp/copilot-prompts/prompt-of-the-week)<a href="https://agentmods.dev/skills/pnp/copilot-prompts/prompt-of-the-week"><img src="https://agentmods.dev/badge/skills/pnp/copilot-prompts/prompt-of-the-week/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/pnp/copilot-prompts/prompt-of-the-week"><img src="https://agentmods.dev/badge/skills/pnp/copilot-prompts/prompt-of-the-week.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 | $0.00064 | $0.02318 |
| Opus 5 | $0.00032 | $0.01159 |
| Sonnet 5 | $0.00013 | $0.00464 |
| Haiku 4.5 | $0.00006 | $0.00232 |
Grade A, and why
prompt-of-the-week scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sSL "$README_URL" -o /home/claude/sample_readme.md How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt-of-the-Week PPTX Skill
Think of this skill as a mail merge meets slide design: the GitHub repo is the data source, and
the Prompt-K.pptx template is the envelope. Your job is to pour the right data into the right
slots without disturbing the surrounding design.
Quick Overview
| Step | What you do |
|---|---|
| 1 | Fetch & parse the GitHub sample (README + sample.json) |
| 2 | Extract the five data fields (see below) |
| 3 | Copy the template and inject fields via XML editing |
| 4 | Swap the author photo using the image in the skill's author/ folder |
| 5 | QA visually, then present the file |
Author Photo Convention (IMPORTANT)
The skill ships with an author/ folder that always contains exactly one image — the photo of
the current week's author. Always use that file as the photo for the slide. Do not attempt to
download avatars from GitHub or the web — this sandbox has no outbound internet access for binary
fetches.
SKILL_DIR="/mnt/user-config/.claude/skills/prompt-of-the-week"
AUTHOR_IMG=$(ls "$SKILL_DIR/author/" | head -1) # exactly one file expected
AUTHOR_PATH="$SKILL_DIR/author/$AUTHOR_IMG"
If the folder is empty or missing, ask the user to drop the week's author photo into
prompt-of-the-week/author/ before continuing. The user maintains this folder — replacing the
image each week is part of their workflow.
To swap it into the slide (the visible photo on the right side is Picture 30 / id=31 / rId5 → image5.png, NOT the off-slide Image 1 / id=3 / rId3):
- Convert the author image to PNG and overwrite
working/unpacked/ppt/media/image5.png. Keeping the filename means no rels or[Content_Types].xmledits are needed:from PIL import Image Image.open(AUTHOR_PATH).save('working/unpacked/ppt/media/image5.png', 'PNG') - Do NOT touch
Image 1(id=3, rId3) — that shape sits off-slide and is not visible. The skill's earlier instructions referencing rId3 were wrong; rId5 is the correct target. - The
Picture 30shape already has photo effects (sharpen, brightness/contrast) and a 3D bevel applied — these stay as-is and apply to the new image automatically. Square (1:1) author images render best.
What ships with it
6 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.
- 12d ago First seen · 219 lines · 64 tokens per session scan A 6c3f2b4b46ed
prompt-of-the-week is a skill published in the GitHub repository pnp/copilot-prompts (876 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 2,318 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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