mark-after-filter-memory-deduplication

mark-after-filter-memory-deduplication is a skill for Claude Code, Codex from ychampion/cskill-agents. It costs 35 tokens per session (455 once invoked), scanned A, original, MIT.

A memory deduplication rule that filters previously seen attachments before adding surviving items to the seen list.

In plain words
What is it for?
It helps surface memory records or file attachments once while maintaining a cumulative read history.
Why use it?
It prevents asynchronous prefetching from marking new results as already read and then hiding them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps surface memory records or file attachments once while maintaining a cumulative read history.

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Install with agentmods
npx agentmods add skills/ychampion/cskill-agents/mark-after-filter-memory-deduplication
Install

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.

Any agent
npx skills add ychampion/cskill-agents --skill mark-after-filter-memory-deduplication
Clone the repo
git clone --depth 1 https://github.com/ychampion/cskill-agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Your own site
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Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 455 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.00455
Opus 5 $0.00017 $0.00228
Sonnet 5 $0.00007 $0.00091
Haiku 4.5 $0.00003 $0.00046

Measured 7d ago against content hash b940ff593096, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

mark-after-filter-memory-deduplication 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.

agents/claude-code/skills/mark-after-filter-memory-deduplication/SKILL.md · 28 lines

How it starts

The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: Mark-After-Filter Memory Deduplication

Domain: context-management
Trigger: Apply when asynchronously prefetched memories or file attachments must be deduplicated against a cumulative read-state cache that they will also update after surviving the filter. Source Pattern: Distilled from reviewed context, compaction, and memory-governance patterns.

Core Method

When prefetch results need to consult a cumulative "already seen" index, treat that index as read-only during selection. First filter the candidate attachments against the existing state, then write only the survivors into the shared cache. This breaks the self-referential cycle where a prefetch marks everything as seen before dedupe runs, causing the filter to delete the very data it just found. Keep the dedupe state cumulative across the whole turn so later iterations and future turns still suppress genuine repeats.

Key Rules

  • Read from the shared dedupe state during filtering, but do not mutate it until the final survivor set is known.
  • Update the shared cache only for attachments that actually survive the filter and remain eligible for surfacing.
  • Use a cumulative state store that includes earlier loop iterations and prior surfaced memories, not just the current batch.
  • Keep the mutation step adjacent to the filter so future maintainers cannot reintroduce self-poisoning writes inside the prefetch path.

Example Application

If a background document selector prefetches five candidate help files while the main agent is still running tools, first drop any files already present in the session's read-state map. Only after that should you record the surviving files in the map, ensuring they surface once now and stay suppressed on later retries.

Anti-Patterns (What NOT to do)

  • Do not mark prefetched files as read before duplicate filtering; the filter will see its own writes and erase the whole batch.
  • Do not dedupe only against the current iteration's attachments; you need cumulative session state to avoid resurfacing files already read by tools or earlier turns.

Read the full file on GitHub · 28 lines

Changes

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.

  1. 7d ago First seen · 28 lines · 35 tokens per session scan A b940ff593096

Subscribe to this mod's changes

mark-after-filter-memory-deduplication is a skill published in the GitHub repository ychampion/cskill-agents (36 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 455 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.