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 skills add jedi4ever/social-skills --skill social-ledgergit clone --depth 1 https://github.com/jedi4ever/social-skillsWrote 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-ledger)<a href="https://agentmods.dev/skills/jedi4ever/social-skills/social-ledger"><img src="https://agentmods.dev/badge/skills/jedi4ever/social-skills/social-ledger/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-ledger"><img src="https://agentmods.dev/badge/skills/jedi4ever/social-skills/social-ledger.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 | $0.00102 | $0.03478 |
| Opus 5 | $0.00051 | $0.01739 |
| Sonnet 5 | $0.00020 | $0.00696 |
| Haiku 4.5 | $0.00010 | $0.00348 |
Grade A, and why
social-ledger 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.
tool's web search, a curl one-off). How it starts
The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
social-ledger skill
Wraps the social-ledger Go binary at scripts/social-ledger.
The ledger is a persistent local memory for every URL the agent
has read — automatic when content comes through social-fetch fetch
/ research / timeline, manual via record for content the
agent fetched through other tools (Claude's WebFetch, the research
tool's web search, a curl one-off).
Trust the ledger. When the user asks "have we read this before?" or "what did we learn about X recently?" — query the ledger first. Only re-fetch on cache miss. The cache survives across conversations, computer restarts, and Claude versions.
Provenance — know how much to trust each entry. The ledger records who put each item in. Two classes:
-
auto-fetched — entry was ingested by
social-fetch fetch / search / ask / timeline / research. We pulled the URL ourselves, ran our own extractor, normalised the markdown. High trust. Thesourcecolumn is one of the platform names:hackernews,reddit,github,x,twitter,linkedin,youtube,bluesky,arxiv,medium,substack,rss,article. -
agent-recorded — entry was stored via
social-ledger article record, meaning an agent fed in content it got from somewhere else (Claude's WebFetch, the research tool, acurlone-off, hand paste). Trust depends on what was fed in. Thesourcecolumn is one ofwebfetch,manual,research-tool,citation.
Quoting from a webfetch-source entry is fine for "what does the
page say at a glance"; for high-stakes citations, prefer
auto-fetched entries or re-fetch the URL via social-fetch fetch
to get a fresh copy through our extractor. The MCP social_ledger_get
tool surfaces this as a provenance field on every retrieval; the
CLI shows the source column on list / search / get so you
can eyeball it.
Subcommands
scripts/social-ledger article seen <url>... # is URL(s) in the ledger?
scripts/social-ledger article get <url> # full content of one entry
scripts/social-ledger article list [flags] # browse newest first
scripts/social-ledger article search "<terms>" # FTS5 over title/content
scripts/social-ledger article stats # counts, sizes
scripts/social-ledger article record <url> [flags] # store URL+content (stdin)
scripts/social-ledger article forget <url> # drop one entry
scripts/social-ledger article filter --skip-seen # JSONL passthrough drops seen
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 · 356 lines · 102 tokens per session scan A 6b934a9a63b9
social-ledger is a skill published in the GitHub repository jedi4ever/social-skills (8 stars, last pushed 4mo ago), licensed MIT. It adds 102 tokens to every session and 3,478 once invoked, about $0.0005 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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