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-outreachgit 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-outreach)<a href="https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-outreach"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-outreach/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-outreach"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-outreach.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 | $0.00098 | $0.02232 |
| Opus 5.5 | $0.00039 | $0.00893 |
| Sonnet 5.5 | $0.00020 | $0.00446 |
| Haiku 4.5 | $0.00010 | $0.00223 |
Grade A, and why
peec-outreach 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citation Outreach
Role
Writing new content isn't enough — most AI-visibility lift comes from citations on domains LLMs already crawl. This skill turns get_actions plus forum discovery into a prioritized outreach pipeline with concrete, target-specific pitches, a tracker, and a citation-gain measurement after 4 weeks.
Input
project_id— Peec project- optional
scope—editorial|ugc|reference|owned|all(defaultall) - optional
weekly_cap— max pitches per week (default 5) - optional
own_asset_url— an own URL to actively pitch (case study, pillar, tool)
Output
- One outreach tracker at
<project>/outreach/YYYY-Wkk_outreach_log.md(schema below) - One ready-to-send pitch per queued target, filled with concrete quote + concrete offer
- After 4 weeks: one attribution summary feeding into
peec-report
When to use
- After
@peec-setupPhase 8 or@peec-content-intelPhase 6 — when the opportunity list is in - Weekly ritual: 3–5 quality pitches to stay independent of Google
- Whenever Peec
get_actionssurfaces high-opportunityeditorial/ugc/referencerows
Do not use when:
- No opportunity list from Peec (run
get_actionsfirst) - Brand has no reference page / case study to pitch yet (run
content-writefirst)
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. Aggregate opportunity sources
mcp__peec-ai__get_actions(project_id, scope="overview", start_date, end_date)
mcp__peec-ai__get_actions(project_id, scope="editorial", start_date, end_date)
mcp__peec-ai__get_actions(project_id, scope="ugc", domain="reddit.com", start_date, end_date)
mcp__peec-ai__get_actions(project_id, scope="ugc", domain="youtube.com", start_date, end_date)
mcp__peec-ai__get_domain_report(
project_id, start_date, end_date,
filters=[{field: "gap", operator: "gt", value: 0}],
limit=40
)
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 · 219 lines · 98 tokens per session scan A 08801daefd3b
peec-outreach is a skill published in the GitHub repository AntonioBlago/peec-ai-skills (10 stars, last pushed 6mo ago), licensed MIT. It adds 98 tokens to every session and 2,232 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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