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 XuanRanL/loamwright-SEO-Skill --skill project-forgetgit clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-SkillWrote 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/xuanranl/loamwright-seo-skill/project-forget)<a href="https://agentmods.dev/skills/xuanranl/loamwright-seo-skill/project-forget"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/project-forget/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/xuanranl/loamwright-seo-skill/project-forget"><img src="https://agentmods.dev/badge/skills/xuanranl/loamwright-seo-skill/project-forget.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 | $0.00041 | $0.00237 |
| Opus 5 | $0.00020 | $0.00118 |
| Sonnet 5 | $0.00008 | $0.00047 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
project-forget 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 7d 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
Project Forget
Workflow
1. Validate slug exists
2. Confirm with user (this is destructive)
3. Move projects/{slug}/ → projects/.deleted/{slug}-{timestamp}/
4. Write .tombstone file with deleted_at + GDPR request reference
5. memory/entities/ entities used ONLY by this project: also tombstone them
6. learned-patterns.json: remove this slug's bucket
7. stop_finalize.py hook will physically delete after 30 days
8. If active-project pointed to this slug, clear pointer
Reversible within 30 days
/forget-project <slug> --undo
Restores from .deleted/ back to projects/.
Compliance
- GDPR Article 17 (Right to be Forgotten)
- CCPA equivalent
- Full audit log in
memory/change-log-global.json
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.
- 7d ago First seen · 32 lines · 41 tokens per session scan A d8ab0ede93f7
project-forget is a skill published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 23d ago), licensed Apache-2.0. It adds 41 tokens to every session and 237 once invoked, about $0.0002 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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