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 ed3dai/ed3d-plugins --skill maintaining-project-contextgit clone --depth 1 https://github.com/ed3dai/ed3d-pluginsWrote 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/ed3dai/ed3d-plugins/maintaining-project-context)<a href="https://agentmods.dev/skills/ed3dai/ed3d-plugins/maintaining-project-context"><img src="https://agentmods.dev/badge/skills/ed3dai/ed3d-plugins/maintaining-project-context/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/ed3dai/ed3d-plugins/maintaining-project-context"><img src="https://agentmods.dev/badge/skills/ed3dai/ed3d-plugins/maintaining-project-context.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 | $0.00044 | $0.01630 |
| Opus 5.5 | $0.00018 | $0.00652 |
| Sonnet 5.5 | $0.00009 | $0.00326 |
| Haiku 4.5 | $0.00004 | $0.00163 |
Grade A, and why
maintaining-project-context 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 1mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 1mo ago First seen · 202 lines · 44 tokens per session scan A 2a3f6bd0c448
maintaining-project-context is a skill published in the GitHub repository ed3dai/ed3d-plugins (253 stars, last pushed 1mo ago), with no licence file. It adds 44 tokens to every session and 1,630 once invoked, about $0.0002 per session on Opus 5.5. 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
vibe-reflect-and-compound
Captures reusable knowledge after work is done — learnings from feedback or failures, resolved bugs (symptom, root cause, prevention), and recurring code patterns — into the project's persistent memory file. Use after feedback, a non-trivial bug fix, a failed attempt, or the third repetition of a pattern.
apply
Use when a staged proposal has been reviewed and signed off — REVIEW.md Step 3 ticked reviewed or provisional — and is ready to promote into the live contextualizer.
pm-engine
Interface with the PM-ENGINE-MEMORY file — the operator's accumulated PM tacit knowledge database. Enables agents to reference, search, and apply TK (Tacit Knowledge) entries, and supports TK extraction from experience (--mode extract), TK querying and referencing (--mode query), and TK-to-instruction conversion…
memory-arch
Design an agent memory system — working memory, episodic memory, semantic memory, and procedural memory. Use when building agents that need to remember context across sessions, learn from interactions, or maintain persistent knowledge. Covers storage strategy, retrieval patterns, and context management.
lore-ingest
Use when the user runs /lore:lore-ingest — find files in the lore's raw/ inbox that are new or changed since their last ledger entry, distill or surgically update wiki pages by content type, update log.md, regenerate the index, and commit.
imperio-memoria
Skill "imperio-memoria" from tatagoncalvesof/imperatriz-toolkit, covering imperio memoria — sistema de memoria para agentes ia, activation, frameworks, 1. cerebro (gestao de estado) and 2. diario (memoria compartilhada).