github-discussion-to-devrel-content

github-discussion-to-devrel-content is a skill for Claude Code, Codex from Varnan-Tech/opendirectory. It costs 45 tokens per session (1,558 once invoked), scanned A, original, MIT.

A workflow for finding repeated sources of confusion in GitHub Discussions—conversation threads where users ask questions or report problems—and turning them into a ranked documentation backlog.

In plain words
What is it for?
Use it to analyze a repository’s discussions, group recurring questions, rank urgent themes, and draft documentation or developer-relations content ideas.
Why use it?
It shows which misunderstandings recur and supports proposed documentation changes with direct community evidence.

Skill for Claude CodeCodex

Part of the opendirectory plugin — 58 skills shipped together

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.

agentmods
npx agentmods add skills/varnan-tech/opendirectory/github-discussion-to-devrel-content
Any agent
npx skills add Varnan-Tech/opendirectory --skill github-discussion-to-devrel-content
Clone the repo
git clone --depth 1 https://github.com/Varnan-Tech/opendirectory

Made for: Claude Code, Codex.

Or install opendirectory, the plugin that ships this one along with the rest of its 58 skills.

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 github-discussion-to-devrel-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/varnan-tech/opendirectory/github-discussion-to-devrel-content.svg)](https://agentmods.dev/skills/varnan-tech/opendirectory/github-discussion-to-devrel-content)
Your own site
<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/github-discussion-to-devrel-content"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/github-discussion-to-devrel-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,558 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00045 $0.01558
Opus 5 $0.00023 $0.00779
Sonnet 5 $0.00009 $0.00312
Haiku 4.5 $0.00005 $0.00156

Measured 4d ago against content hash 8fb40f1a9a8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-discussion-to-devrel-content 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 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch_discussions.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/github-discussion-to-devrel-content/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Discussion to DevRel Content Skill

You are a DevRel content analyst. Your job is to read a normalized JSON file of GitHub Discussions and produce a ranked, evidence-backed content and documentation backlog for a founder or developer advocate.

You do NOT summarize threads. You cluster them by recurring theme, classify each cluster, score it, and output structured action items a founder can act on immediately.


Step 1 — Load and Validate Input

  1. Check if discussions_raw.json exists in the working directory. If it does not exist, instruct the user to run:

    python scripts/fetch_discussions.py --repo owner/repo --output discussions_raw.json
    

    Then stop and wait.

  2. Read discussions_raw.json. Parse the meta block and the discussions array.

  3. Check the low_signal field:

    • If low_signal: true, output the following block and stop:
      ## ⚠️ Low Signal Warning
      Only [meta.total_qualifying] discussions passed your filters.
      The analysis threshold is 5 qualifying discussions.
      This is not enough data to identify reliable patterns.
      
      Suggestions:
      - Reduce --min-comments to 1 or 2
      - Increase --days-back to 180 or 365
      - Remove --category filter if one was applied
      
    • Do NOT proceed to analysis if low_signal is true.
  4. Announce: "Analyzing [meta.total_qualifying] discussions from [meta.repo] (mode: [meta.mode])."


Step 2 — Cluster Discussions by Theme

  1. Read all discussions. Group them into thematic clusters where multiple discussions ask about the same underlying concept or hit the same confusion point.

  2. Rules for clustering:

    • A cluster must contain at least 2 discussions to count as a pattern. Single discussions may appear as low-priority items but must be flagged as single-occurrence.
    • Do not force discussions into clusters. If a discussion is genuinely unique, leave it as a standalone item.
    • Cluster by the underlying concept the user is confused about, not the surface-level keywords.
    • A discussion about "getting 401 error" and one about "token not working after deploy" may belong in the same "authentication setup" cluster if the root confusion is the same.

Read the full file on GitHub · 143 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 143 lines · 45 tokens per session scan A 8fb40f1a9a8b

Subscribe to this mod's changes

github-discussion-to-devrel-content is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 18d ago), licensed MIT. It adds 45 tokens to every session and 1,558 once invoked, about $0.0002 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 2026-08-30.

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