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 AntonioBlago/peec-ai-skills --skill peec-checkupgit clone --depth 1 https://github.com/AntonioBlago/peec-ai-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/antonioblago/peec-ai-skills/peec-checkup)<a href="https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-checkup"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-checkup/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/antonioblago/peec-ai-skills/peec-checkup"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-checkup.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 | $0.00165 | $0.03551 |
| Opus 5.5 | $0.00066 | $0.01420 |
| Sonnet 5.5 | $0.00033 | $0.00710 |
| Haiku 4.5 | $0.00016 | $0.00355 |
Grade A, and why
peec-checkup 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Peec Checkup
Role
Single read-only pass over a Peec project that answers three questions:
- Setup quality — is the project configured correctly, or are there structural problems holding back every measurement?
- Brand performance now — where does the brand actually stand, snapshot today?
- Top improvements — which 5–8 concrete moves would move the needle most, ranked?
No writes. No content production. No outreach. Pure diagnosis + recommendations.
Input
project_id— Peec project (read fromsetup_state.jsonper pre-flight; fallback tomcp__peec-ai__list_projectsif state missing)- optional
date_range— default last 28 days (falls back to whatever data exists if project is younger) - optional
top_n— number of improvements to surface, default 5, max 8
Output
One markdown report saved to <project>/checkups/YYYY-MM-DD_checkup.md (schema in §6). Mirrored to stdout for the user. Never modifies setup_state.json or any Peec data.
When to use
- "Wo stehe ich bei Peec?" / "Wie ist mein Status?"
- "Mein Setup checken" / "Was läuft falsch bei meinem Peec-Projekt?"
- "Welche Verbesserungspotenziale gibt es?"
- Onboarding a project from another consultant — first pass to see what was set up
- Periodic ritual: monthly without 4 weeks of action history (use
peec-reportinstead when history exists) - After someone else changed the Peec project and you want to see what shifted
Do not use when:
- The user wants ONE next action — that is
/peec-agent - The user wants attribution of past actions — that is
/peec-report - The project is empty — that is
/peec-setup(full mode) - The user wants to mutate Peec — every other skill, not this one
Pipeline
0. Pre-flight — setup state required (lenient)
Per _shared/SETUP_STATE.md, this skill prefers a state file but does not hard-stop without one — checkup is itself the audit you'd run when state is missing. Logic:
Read <project>/growth_loop/setup_state.json
If present:
Use peec_project_id, target_country, prompt_language from state.
Note the setup age in the report.
If missing:
Resolve project via mcp__peec-ai__list_projects.
Note in the report: "no setup_state.json — run /peec-setup
(mode: import) after this checkup to persist findings."
Default target_country=DE, prompt_language=de UNLESS the user said otherwise.
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 · 302 lines · 165 tokens per session scan A a89461ed67f4
peec-checkup is a skill published in the GitHub repository AntonioBlago/peec-ai-skills (10 stars, last pushed 6mo ago), licensed MIT. It adds 165 tokens to every session and 3,551 once invoked, about $0.0007 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.
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