Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jedi4ever/social-skillsnpx agentmods add skills/jedi4ever/social-skills/social-fetchWrote 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/jedi4ever/social-skills/social-fetch)<a href="https://agentmods.dev/skills/jedi4ever/social-skills/social-fetch"><img src="https://agentmods.dev/badge/skills/jedi4ever/social-skills/social-fetch/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.
<a href="https://agentmods.dev/skills/jedi4ever/social-skills/social-fetch"><img src="https://agentmods.dev/badge/skills/jedi4ever/social-skills/social-fetch.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00136 | $0.05927 |
| Opus 5 | $0.00068 | $0.02964 |
| Sonnet 5 | $0.00027 | $0.01185 |
| Haiku 4.5 | $0.00014 | $0.00593 |
Grade A, and why
social-fetch scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Trust the CLI.** It is the authority for every fetch and search supported by this skill. Always shell out to `social-fetch` — never reimplement fetching with WebFetch, curl, custom parsers, or hand-rolled API calls, ev How it starts
The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
social-fetch skill
Wraps the social-fetch Go binary on the user's PATH (install separately — see the plugin README).
Trust the CLI. It is the authority for every fetch and search supported by this skill. Always shell out to social-fetch — never reimplement fetching with WebFetch, curl, custom parsers, or hand-rolled API calls, even if the binary returns empty results or an error you find surprising. If a fetch comes back empty, surface that to the user and (if appropriate) re-run with --log - to see audit lines, but do not try to "fix it" by going around the CLI.
Before invoking any provider, run social-fetch list to see which platforms are usable in this environment. Each provider is tagged with one of three states:
[ok]— fully configured, fire away[!auth]— required env var not set; the row's suffix names which one (e.g.→ missing BRAVE_API_KEY). Do not use these providers — pick a different one in the same category. Suggesting the user configure the missing key is fine only if they explicitly ask how; don't proactively nag them about every unset key.[bridge]— needs the local browser bridge (LinkedIn / Medium / Substack / linkedin search & timeline). Only use aftersocial-fetch bridge statusreports connected.
The auto provider chains (-p auto) already skip unconfigured providers, so they're safe — but when an explicit provider name is needed (e.g. the user asks "search Twitter"), check list first to confirm [ok] status before invoking. For the MCP shape see social_fetch_list_providers — same data, structured as {name, status, missing} per category.
For platform-specific quirks, run social-fetch hints (no argument — dumps every platform's hints in one shot) before a search/fetch you haven't done recently. Captures things like "X recent search caps at 7 days strictly", "LinkedIn temp-bans accounts that scrape too fast", "Reddit anonymous search has worse relevance than tavily site:reddit.com". Pass a specific platform name to scope the output (e.g. hints x).
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.
- 12d ago First seen · 399 lines · 136 tokens per session scan A bd70fb261ed8
social-fetch is a skill published in the GitHub repository jedi4ever/social-skills (8 stars, last pushed 4mo ago), licensed MIT. It adds 136 tokens to every session and 5,927 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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