peec-learn

peec-learn is a skill for Claude Code from AntonioBlago/peec-ai-skills. It costs 119 tokens per session (2,595 once invoked), scanned A, original, MIT.

A shared learning layer for Peec AI growth projects. It extracts useful patterns from completed project work and stores them so later runs, or other projects, can reuse them.

In plain words
What is it for?
Use it after Peec setup, content, outreach, clustering, agent, or reporting work to save one to three patterns. You can also recall patterns by topic, project, or source skill.
Why use it?
Important lessons can otherwise stay trapped in individual reports or projects. This add-on turns those lessons into searchable guidance for future decisions.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it after Peec setup, content, outreach, clustering, agent, or reporting work to save one to three patterns. You can also recall patterns by topic, project, or source skill.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-learn/github.svg)](https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-learn)
Your own site
<a href="https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-learn"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-learn/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-learn

Your own site · 80×15
<a href="https://agentmods.dev/skills/antonioblago/peec-ai-skills/peec-learn"><img src="https://agentmods.dev/badge/skills/antonioblago/peec-ai-skills/peec-learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,595 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 $0.00119 $0.02595
Opus 5 $0.00060 $0.01298
Sonnet 5 $0.00024 $0.00519
Haiku 4.5 $0.00012 $0.00260

Measured 11d ago against content hash 52ef16584d41, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

peec-learn 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 11d 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-learn/SKILL.md · 251 lines

How it starts

The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SkillMind Learner

Role

Turn project-local Peec outputs into cross-project patterns. Each run does two things:

  1. Write — extract 1–3 patterns from a just-produced artifact (decision, brief, zone map, outreach log, learnings.json) and store them in SkillMind with tags so they can be retrieved later.
  2. Read — on request, recall patterns matching a project / skill / gap type and hand them back as priors for the next orchestrator cycle.

This is the memory layer beneath peec-report: that skill persists learnings for the project, this skill promotes them across projects.

Input

For write mode:

  • project_id — Peec project the artifact came from
  • source_skill — which skill produced the artifact (peec-agent, peec-cluster, peec-outreach, peec-content-intel, peec-report)
  • artifact_path or artifact_content — the file or inline content to extract from
  • optional max_patterns — default 3

For read mode:

  • query — what the caller wants to recall (e.g. "editorial outreach DACH high citation rate")
  • optional project_id — narrow to patterns originally written for this project
  • optional source_skill — narrow to patterns originally written by this skill
  • optional k — default 5

Output

Write mode: JSON list of {pattern_id, title, tags, summary} for each persisted pattern, plus a one-line confirmation ("added 3 patterns · skipped 1 dupe").

Read mode: ranked list of {pattern_id, title, summary, provenance: {project_id, source_skill, date}, score}. Empty list is a valid result — say so plainly.

Neither mode produces dashboards.

When to use

Write:

  • Right after peec-report emits learnings.json
  • After a peec-outreach batch closes (week-end ritual)
  • After peec-cluster ships a zone map (zones become reusable taxonomy patterns)
  • After peec-agent logs a decision whose 4-week metric came in (attribution is known)
  • After peec-content-intel ships a brief that later won its prompt (write the retrospective pattern, not the brief itself)

Read the full file on GitHub · 251 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. 11d ago First seen · 251 lines · 119 tokens per session scan A 52ef16584d41

Subscribe to this mod's changes

peec-learn is a skill published in the GitHub repository AntonioBlago/peec-ai-skills (9 stars, last pushed 4mo ago), licensed MIT. It adds 119 tokens to every session and 2,595 once invoked, about $0.0006 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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