Session Logs
Skill8 starsChanged 7 months agoApache-2.0View on GitHub
Inspect this agent's stored JSONL session transcripts — list, read, search, or recall recent turns.
In this repository38 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Use this skill when the agent needs to look at its own prior conversations: "what did I tell you yesterday?", "search whether we ever …
- Very specific: line 62
Start with recent for "what did I just say" questions — cheap and enough for short windows.
- Very specific: line 64
Use search for "did we ever discuss X" queries.
- Very specific: line 66
Always set a reasonable max_chars — full transcripts can blow the LLM context window fast.
- Very specific: line 68
If transcripts_dir is not configured, the tool returns {ok: false, error: "transcripts_dir is not configured..."} — ask the operator to set …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Session Logs
Use this skill when the agent needs to look at its own prior conversations:
"what did I tell you yesterday?", "search whether we ever discussed X",
"show me the last 5 things from this session". Reads the JSONL transcripts under
transcripts_dir (Phase 10.4 writes them).
Use when
- Self-reflection: "what did I commit to in the previous chat?"
- Debugging: "what tool result did I see in session X?"
- Lightweight search across the agent's history
- Replaying recent turns when memory/workspace is insufficient
Do not use when
- Long-term semantic search across all memory — use the
memorytool (vector/keyword) instead; this one is per-session raw transcript - Editing the transcript — this tool is read-only
- Cross-agent inspection — scope is limited to this agent's transcripts
Tools
Single tool session_logs with action dispatch:
list_sessions
limit(integer, optional, 1–500, default 50) — most-recent first
Returns {sessions: [{session_id, agent_id, source_plugin, entry_count, first_timestamp, last_timestamp}, ...]}.
read_session
session_id(UUID, required)limit(integer, optional) — max entries returnedmax_chars(integer, optional, 20–4000, default 200) — truncate each content preview
Returns {header, total_entries, returned, truncated, entries: [...]}.
search
query(string, required) — case-insensitive substring matchlimit(integer, optional, default 50)max_chars(integer, optional) — preview length per hit
Returns {hits: [{session_id, timestamp, role, source_plugin, preview}, ...]}.
recent
session_id(UUID, optional) — defaults to the current session when omittedlimit(integer, optional, default 10)max_chars(integer, optional)
Returns {session_id, count, entries: [...]}.
Execution guidance
- Start with
recentfor "what did I just say" questions — cheap and enough for short windows. - Use
searchfor "did we ever discuss X" queries; pair withlist_sessionsif you need to know which session to thenread_session. - Always set a reasonable
max_chars— full transcripts can blow the LLM context window fast. - If
transcripts_diris not configured, the tool returns{ok: false, error: "transcripts_dir is not configured..."}— ask the operator to setagents[].transcripts_dirinagents.yaml. - For semantic search (what I meant vs what I literally typed), use
the
memorytool withmode: "vector". - The tool is read-only and session-scoped to this agent — no risk of cross-agent bleed.
Does it work?
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

