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 rhtevan/agentfs --skill goose-recipe-session-cleanupgit clone --depth 1 https://github.com/rhtevan/agentfsWrote 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/rhtevan/agentfs/goose-recipe-session-cleanup)<a href="https://agentmods.dev/skills/rhtevan/agentfs/goose-recipe-session-cleanup"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-recipe-session-cleanup/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/rhtevan/agentfs/goose-recipe-session-cleanup"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-recipe-session-cleanup.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 | $0.00029 | $0.04265 |
| Opus 5 | $0.00015 | $0.02132 |
| Sonnet 5 | $0.00006 | $0.00853 |
| Haiku 4.5 | $0.00003 | $0.00426 |
Grade A, and why
goose-recipe-session-cleanup 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 10d 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 — 490 lines — stays where its author put it; the contents beside it link to each section on GitHub.
goose-recipe-session-cleanup
Identify and remove Goose session records from the sessions database. Covers all four session categories with per-category opt-in and optional date filtering.
Problem
Goose accumulates session records in its SQLite database over time:
- Recipe sessions from ad-hoc CLI runs are invisible in Desktop UI
- Terminal sessions from
goose termare never shown anywhere - Hidden sessions from
goose doctorare diagnostic leftovers - Desktop sessions from interactive use may become stale over time
Without periodic cleanup, the database grows large and fills with sessions that will never be revisited.
Architecture
Goose stores sessions in two places:
| Store | Path | Purpose |
|---|---|---|
| SQLite DB | ~/.local/share/goose/sessions/sessions.db |
All session metadata + messages |
| projects.json | ~/.local/share/goose/projects.json |
Desktop UI project/session visibility |
The DB contains four session categories with distinct characteristics:
| Category | session_type |
DB marker | name pattern |
provider_name |
extension_data |
|---|---|---|---|---|---|
| Desktop | user |
recipe_json IS NULL |
Descriptive, user-assigned | Set (e.g. custom_redhat) |
Full JSON with extensions |
| Recipe | user |
recipe_json IS NOT NULL |
Auto-generated from recipe | Set | Full JSON |
| Terminal | terminal |
— | Always "Goose Term Session" |
None |
{} (empty) |
| Hidden | hidden |
— | Always "/doctor I ran /doctor" |
None |
varies |
How It Works
The scan queries the SQLite database and groups results into four categories. The user can:
- Supply a before date to only target old sessions
- Choose which categories to delete (any combination)
- Say "clean all sessions" to include every category
Deletion removes sessions, messages, and usage_ledger records.
Parameters
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.
- 10d ago First seen · 490 lines · 29 tokens per session scan A f724026e698f
goose-recipe-session-cleanup is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 4,265 once invoked, about $0.0001 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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