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/lookatitude/guild/learn-explainnpx skills add lookatitude/guild --skill learn-explaingit clone --depth 1 https://github.com/lookatitude/guildWhat 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 | $0.00186 | $0.01988 |
| Opus 5 | $0.00093 | $0.00994 |
| Sonnet 5 | $0.00037 | $0.00398 |
| Haiku 4.5 | $0.00019 | $0.00199 |
Grade A, and why
guild-learn-explain 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 2d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to use it
Use to produce a focused, graph-grounded explanation of one named target —
a file, function, class, or module: what it does, how it fits the layer/domain
map, what it depends on, and what depends on it. The explanation is built from
the KnowledgeGraph (guild:learn-graph) so it reuses the calibrated
source_refs + confidence already attached to nodes, rather than re-reading
and re-interpreting raw source from scratch.
When not to use it
Not for the cheap-scan map (guild:learn-map), building the graph
(guild:learn-graph), narrating the tour (guild:learn-onboard), or per-run
diff analysis (guild:learn-diff). Not for a broad cross-graph query — that is
the bounded kg-query retrieval path (wired into guild:context-assemble) /
guild:wiki-query. Not for ingesting an external source (guild:wiki-ingest).
This skill is scoped to one named target at a time.
Required inputs
- The target identifier — a path,
path#Lx-Ly, a symbol name, or a module. .guild/indexes/knowledge-graph.json(guild.knowledge_graph.v1) fromguild:learn-graphwhen present (preferred grounding). The output-locations table is owned byguild:learn-map.- If the graph is absent or does not cover the target, the ask-before-deep-scan gate applies before any bounded targeted scan of just that target's file(s) — never a full deep scan to answer one explain.
Output format
- A focused explanation surfaced to the requester (and usable by
guild:context-assembleas a task-dependent source): the target's role, its place in the layer/domain map, inbound (calls/depends_on) and outbound edges, and the key behaviours — each claim citing the graph node'ssource_refs(path#Lx-Ly) +confidence. - On explicit request only, a
.guild/wiki/concepts/*page candidate for the target (promotion stays withguild:wiki-ingest— this skill does not self-promote).
This skill is read-only over the codebase; it writes no index and mutates no source.
What ships with it
1 file 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.
- 2d ago First seen · 138 lines · 186 tokens per session scan A a1cb07ff0fe2
guild-learn-explain is a skill published in the GitHub repository lookatitude/guild (7 stars, last pushed 2d ago), licensed MIT. It adds 186 tokens to every session and 1,988 once invoked, about $0.0009 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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