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-clustergit 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-cluster)<a href="https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-cluster"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-cluster/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-cluster"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-cluster.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 | $0.00107 | $0.02621 |
| Opus 5.5 | $0.00043 | $0.01048 |
| Sonnet 5.5 | $0.00021 | $0.00524 |
| Haiku 4.5 | $0.00011 | $0.00262 |
Grade A, and why
peec-cluster 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Cluster Builder
Role
Reduce a flat Peec prompt set to 4–8 strategic zones — each with a structural weakness in the competition, one measurable metric, and one "do exactly this now" action. Not keyword clusters. Not a content calendar.
A zone is coherent only when three axes line up:
Intent
↑
Visibility gap
↑
Demand signal
If a candidate zone fails any axis, it gets merged or dropped.
Input
project_id— Peec project- optional
date_range— default last 30 days - optional
target_zones— default 4–8 (skill picks the resolution) - optional
focus_funnel_stage— restrict to one stage
Output
One markdown zone map (schema in §Output schema), plus one Peec tag per zone (zone:<slug>) with all prompts retagged, so peec-report can measure zone lift later.
When to use
- ≥20 Peec prompts and the team has lost the overview
- After
@peec-setup, before@content-writeper article - Quarterly strategy refresh
- Before an investment conversation ("what is our AI content strategy?")
Do not use when:
- <10 prompts (not enough mass for real zones)
- Prompts aren't split into Awareness / Consideration / Decision / Retention yet (run
@peec-setupfirst)
Pipeline
0. Pre-flight — setup state required
Per _shared/SETUP_STATE.md, this skill refuses to run without a completed setup:
Read <project>/growth_loop/setup_state.json
If missing OR completed_at missing OR phases_completed lacks
{competitors, prompts, topics, tags}:
STOP. Output:
"No Peec setup state found at <project>/growth_loop/setup_state.json.
Run /peec-setup first."
If completed_at older than 90 days: WARN once, continue.
Use peec_project_id from state — don't re-resolve via list_projects.
1. Pull prompt inventory + visibility state
mcp__peec-ai__list_prompts(project_id)
mcp__peec-ai__get_brand_report(
project_id, start_date, end_date,
dimensions=["prompt_id"],
filters=[{field: "brand_id", operator: "in", values: [own_brand_id]}]
)
mcp__peec-ai__get_url_report(
project_id, start_date, end_date,
dimensions=["prompt_id"],
filters=[{field: "gap", operator: "gt", value: 0}]
)
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 · 241 lines · 107 tokens per session scan A 3be5f25ee118
peec-cluster is a skill published in the GitHub repository AntonioBlago/peec-ai-skills (10 stars, last pushed 6mo ago), licensed MIT. It adds 107 tokens to every session and 2,621 once invoked, about $0.0004 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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