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/techwolf-ai/ai-first-toolkit/session-searchnpx skills add techwolf-ai/ai-first-toolkit --skill session-searchgit clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkitWrote 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/techwolf-ai/ai-first-toolkit/session-search)<a href="https://agentmods.dev/skills/techwolf-ai/ai-first-toolkit/session-search"><img src="https://agentmods.dev/badge/skills/techwolf-ai/ai-first-toolkit/session-search.svg" alt="Measured on agentmods" 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 | $0.00113 | $0.01057 |
| Opus 5 | $0.00056 | $0.00528 |
| Sonnet 5 | $0.00023 | $0.00211 |
| Haiku 4.5 | $0.00011 | $0.00106 |
Grade A, and why
session-search 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 4d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
session-search
Platforms: Claude Code / Cowork and Codex.
find_sessions.pyandshow_session.pydetect the host (via theplatformstampinstall.shwrites, orAI_FIRST_PLATFORM) and route to the right store: Claude Code (~/.claude/projects) + Cowork transcripts, or Codex rollouts (~/.codex/sessions/**/rollout-*.jsonl). Both support list, time/cwd/title filters, and full-text--grep. Antigravity is not supported: its IDE conversations are AEAD-encrypted at rest (~/.gemini/antigravity/conversations/*.pb) and its unencrypted CLI store carries no parseable turn content, so the skill prints a clear "not available" message and exits.
Two scripts in scripts/ locate past sessions and dump their content:
find_sessions.py, discover + filter sessions (metadata + optional full-text grep).show_session.py, print a single session's conversation (user/assistant turns) in readable form.
Both read directly from disk , no API calls, no auth. They resolve paths from $HOME so they work for any macOS user:
- Claude Code CLI:
~/.claude/projects/*/\*.jsonl - Claude Cowork:
~/Library/Application Support/Claude/local-agent-mode-sessions/*/*/local_*/audit.jsonl(siblinglocal_*.jsonholds title/metadata)
How to use
Start narrow, widen if needed. Prefer --grep for content recall; use metadata filters to scope.
Step 1 , find candidate sessions
scripts/find_sessions.py --grep "recruitee logo api" # content search
scripts/find_sessions.py --title "rippling" # title substring
scripts/find_sessions.py --cwd "Recruitee" # Code sessions under matching cwd
scripts/find_sessions.py --since 2026-03-01 --until 2026-03-31
scripts/find_sessions.py --kind cowork -n 30 # 30 most recent Cowork
Combine freely. Output is a table by default; add --json for structured piping.
--grep PATTERN is a regex (case-insensitive). It searches message text inside every transcript and prints 1-2 matching snippets per session along with the session row. Use this when the user remembers a phrase or topic, not a title.
What ships with it
4 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.
- 4d ago First seen · 67 lines · 113 tokens per session scan A ce0c7b121b2f
session-search is a skill published in the GitHub repository techwolf-ai/ai-first-toolkit (98 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 1,057 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
memory-sync
Review the auto-extracted candidates in .claude/memory/pending.md and commit keepers to the canonical memory files (landmarks.md, libraries.md, decisions.md, landmines.md, conventions.md, pending-questions.md, backlog.md). Invoke at session start when the SessionStart hook reports pending candidates, or any time…
notion
Read, create, and update Notion pages and databases via the Notion REST API.
obsidian
Read, search, and create notes in Obsidian vaults.
research
Workflow Phase 3 — Research and Solution Exploration. Surfaces 2–4 candidate solution approaches with concrete tradeoffs, grounded in current library docs (fetched through the provider named in .claude/docs-provider.json) — never in training-data recall. Output lives at docs/research/ .md. Candidate ranking and the…
sprint-planner
Propose the next dependency-ready sprint from the ALREADY-DECOMPOSED roadmap — standup's active sibling. Reads docs/roadmap-execution-plan.md + the memory backlog, computes per-task readiness from the roadmap's machine-readable status, orders with roadmap-planner's graph engine, and emits a proposed task-set…
faithful-capture
Capture what someone actually said without contaminating it with your own inference. Invoke when eliciting intent in conversation (design discussion, requirement interview, decision surfacing) and when turning a conversation into a durable record (ADR, decision node, memory entry, spec ## Decisions row). Enforces…