Borrowing it
Nothing to install: this file belongs to anthony-chaudhary/fak. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/anthony-chaudhary/fak/main/.agents/skills/memory-compact/SKILL.mdgit clone --depth 1 https://github.com/anthony-chaudhary/fakWrote 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/anthony-chaudhary/fak/memory-compact)<a href="https://agentmods.dev/skills/anthony-chaudhary/fak/memory-compact"><img src="https://agentmods.dev/badge/skills/anthony-chaudhary/fak/memory-compact/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/anthony-chaudhary/fak/memory-compact"><img src="https://agentmods.dev/badge/skills/anthony-chaudhary/fak/memory-compact.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 6 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 11 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00049 | $0.00250 |
| Opus 5.5 | $0.00020 | $0.00100 |
| Sonnet 5.5 | $0.00010 | $0.00050 |
| Haiku 4.5 | $0.00005 | $0.00025 |
Grade A, and why
memory-compact 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.
What it actually says
Canonical project skill adapter
Load and follow ../../../.claude/skills/memory-compact/SKILL.md. This generated discovery adapter contains no maintained workflow body.
Portability contract
- The linked canonical
SKILL.mdis the single semantic workflow body for Claude, Codex, and fak-native loaders. - This adapter changes discovery only; it must not fork, summarize, or translate the workflow.
- Harness-native invocation, permissions, hooks, model routing, and worker launch remain typed adapters outside the semantic body.
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 Changed · +1 lines e8ebc56441b9
- 1mo ago First seen · 18 lines · 49 tokens per session scan A b79abbfae8b0
memory-compact is a skill published in the GitHub repository anthony-chaudhary/fak (42 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 250 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
brain-ai-memory
Save, correct and recall project facts, exact state and session handoffs through Brain-AI Memory MCP when it is connected, or set up a project-local connection when requested.
federated-context-governance
Govern agent-configuration drift once tool orchestration scales from one developer to a team. Detects where independently-authored context configs (CLAUDE.md-style settings + installed skills) diverge, classifies the fragmentation stage, enforces a FEDERATED org base whose nonnegotiable settings (security…
bi-temporal-edge
Bi-temporal edge primitive for agentic graph memory. Tracks two independent time dimensions per relationship: when the relationship was VALID in the domain (validfrom / validuntil) and when the system LEARNED about it (ingestedat). Enables point-in-time queries like "What was the EC2 instance type for…
graphiti-incremental-update
Graphiti (Zep) incremental-update pattern (Ch4). When new content arrives, process only the new content — never re-process the entire graph. Pipeline: (1) extract entities from new episode, (2) entity-resolve against existing graph (dedupe by canonical name + alias + fuzzy match), (3) incremental- update — touch only…
hierarchical-memory
Three-tier hierarchical memory (Letta / MemGPT pattern) — core / recall / archival. Core holds a small, fast, frequently-accessed working set (e.g. corelimit=2000 tokens). Recall holds raw interaction history for "what did we talk about yesterday" questions. Archival holds effectively unlimited overflow, still…
memory-consistency-model-selector
Choose a memory consistency model PER agent-coordination operation — STRONG (linearizable), CAUSAL, READ-YOUR-WRITES, or EVENTUAL — by scoring the operation's requirements (shared authoritative state, conflict intolerance, staleness budget, collaboration, self-session continuity), per Ch4 "Memory consistency models…