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/chenfei462/packsmith/github-demandnpx skills add chenfei462/packsmith --skill github-demandgit clone --depth 1 https://github.com/chenfei462/packsmithWhat 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 | $0.00022 | $0.00175 |
| Opus 5 | $0.00011 | $0.00088 |
| Sonnet 5 | $0.00004 | $0.00035 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
github-demand 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 yesterday.
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.
What it actually says
GitHub Demand
Use this skill when a project idea needs evidence from GitHub rather than intuition.
Workflow
- Start from trending repos and topic pages.
- Look for repositories with strong star velocity or fast issue growth.
- Read open issues to identify repeated workflow pain.
- Separate category proof from unsolved workflow gaps.
- End with one narrow product recommendation, not a vague market map.
Output
- one-sentence thesis
- 3-5 demand signals
- 2-3 user pains
- one MVP recommendation
Rules
- Prefer primary GitHub sources.
- Include exact dates when calling something "latest" or "recent".
- Distinguish evidence from inference.
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.
- yesterday First seen · 30 lines · 22 tokens per session scan A 1e56553286a0
github-demand is a skill published in the GitHub repository chenfei462/packsmith (2 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 175 once invoked, about $0.0001 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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