peec-outreach

peec-outreach is a skill for Claude Code from AntonioBlago/peec-ai-skills. It costs 98 tokens per session (2,232 once invoked), scanned A, original, MIT.

An outreach workflow based on Peec AI recommendations and discussions in forums or other user-generated sites. It finds citation opportunities—places where a brand could be referenced by sources AI systems use—and prepares pitches and tracking.

In plain words
What is it for?
Use it to plan editorial, forum, reference-site, or owned-channel outreach. It creates a tracker, ready-to-send pitch for each queued target, and an attribution summary after four weeks.
Why use it?
Publishing content alone may not earn references from useful external sources. This workflow turns opportunity lists into specific contacts, messages, follow-up status, and later measurement.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to plan editorial, forum, reference-site, or owned-channel outreach. It creates a tracker, ready-to-send pitch for each queued target, and an attribution summary after four weeks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/antonioblago/peec-ai-skills/peec-outreach
Install

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.

Any agent
npx skills add AntonioBlago/peec-ai-skills --skill peec-outreach
Clone the repo
git clone --depth 1 https://github.com/AntonioBlago/peec-ai-skills

Made for: Claude Code.

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.

agentmods badge for peec-outreach

README.md
[![agentmods](https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-outreach/github.svg)](https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-outreach)
Your own site
<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.

agentmods 80×15 button for peec-outreach

Your own site · 80×15
<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>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,232 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.02232
Opus 5 $0.00049 $0.01116
Sonnet 5 $0.00020 $0.00446
Haiku 4.5 $0.00010 $0.00223

Measured 12d ago against content hash 08801daefd3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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.

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.

skills/peec-outreach/SKILL.md · 219 lines

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 scopeeditorial | ugc | reference | owned | all (default all)
  • 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-setup Phase 8 or @peec-content-intel Phase 6 — when the opportunity list is in
  • Weekly ritual: 3–5 quality pitches to stay independent of Google
  • Whenever Peec get_actions surfaces high-opportunity editorial / ugc / reference rows

Do not use when:

  • No opportunity list from Peec (run get_actions first)
  • Brand has no reference page / case study to pitch yet (run content-write first)

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
)

Read the full file on GitHub · 219 lines

Changes

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.

  1. 12d ago First seen · 219 lines · 98 tokens per session scan A 08801daefd3b

Subscribe to this mod's changes

peec-outreach is a skill published in the GitHub repository AntonioBlago/peec-ai-skills (9 stars, last pushed 4mo ago), licensed MIT. It adds 98 tokens to every session and 2,232 once invoked, about $0.0005 per session on Opus 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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