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 glebis/claude-skills --skill session-findergit clone --depth 1 https://github.com/glebis/claude-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/glebis/claude-skills/session-finder)<a href="https://agentmods.dev/skills/glebis/claude-skills/session-finder"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/session-finder/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/glebis/claude-skills/session-finder"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/session-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.00395 |
| Opus 5 | $0.00027 | $0.00198 |
| Sonnet 5 | $0.00011 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
session-finder 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 6d 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.
What it actually says
Session Finder
Semantic search across Claude Code sessions using Gemini embeddings.
Commands
Index sessions
python3 ~/.claude/skills/session-finder/scripts/session_finder.py index [--max-age-days 90]
Search
python3 ~/.claude/skills/session-finder/scripts/session_finder.py search "query" [--top 5]
Open best match directly
python3 ~/.claude/skills/session-finder/scripts/session_finder.py open "query"
Stats
python3 ~/.claude/skills/session-finder/scripts/session_finder.py stats
How it works
- Document extraction — deterministic, no LLM. Each session JSONL is parsed into a structured document:
away_summaryevents (pre-existing Claude recaps) if available- First user message (task description)
- Follow-up user messages (condensed)
- First assistant response
- Tools used
- Project name
- Embedding — documents are embedded with
gemini-embedding-exp-03-07viallmCLI - Storage — SQLite at
~/.claude/session-finder.db - Search — query is embedded, cosine similarity ranks all sessions, top match is the default to open
Workflow
When user asks to find a session:
- Run
searchwith their query - Present results with confidence scores
- Offer to resume the top match via
claude --resume <id>
What ships with it
2 files 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.
- 6d ago First seen · 51 lines · 54 tokens per session scan A 1a84aedaf1dd
session-finder is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 8d ago), licensed MIT. It adds 54 tokens to every session and 395 once invoked, about $0.0003 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 2026-09-03.
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