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 agentmods add skills/varnan-tech/opendirectory/github-discussion-to-devrel-contentnpx skills add Varnan-Tech/opendirectory --skill github-discussion-to-devrel-contentgit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/github-discussion-to-devrel-content)<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>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 | $0.00045 | $0.01558 |
| Opus 5 | $0.00023 | $0.00779 |
| Sonnet 5 | $0.00009 | $0.00312 |
| Haiku 4.5 | $0.00005 | $0.00156 |
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.
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 — 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
-
Check if
discussions_raw.jsonexists 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.jsonThen stop and wait.
-
Read
discussions_raw.json. Parse themetablock and thediscussionsarray. -
Check the
low_signalfield:- 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_signalis true.
- If
-
Announce: "Analyzing [meta.total_qualifying] discussions from [meta.repo] (mode: [meta.mode])."
Step 2 — Cluster Discussions by Theme
-
Read all discussions. Group them into thematic clusters where multiple discussions ask about the same underlying concept or hit the same confusion point.
-
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.
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.
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.
- 4d ago First seen · 143 lines · 45 tokens per session scan A 8fb40f1a9a8b
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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