analyzing-all-conversations

analyzing-all-conversations is a skill for Claude Code, Codex from BongSuCHOI/memex. It costs 47 tokens per session (387 once invoked), scanned A, original, MIT.

A skill for producing a coverage-checked report about an entire Memex conversation collection. It reports totals, dates, projects, extracted facts, summaries, and areas that are not yet processed.

In plain words
What is it for?
Use it to analyze or organize all Codex history, inspect project rollups, review timelines, and identify extraction or summary gaps.
Why use it?
It distinguishes complete results from unfinished background processing, so the report does not imply that missing conversations were analyzed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it to analyze or organize all Codex history, inspect project rollups, review timelines, and identify extraction or summary gaps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bongsuchoi/memex/analyzing-all-conversations
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 BongSuCHOI/memex --skill analyzing-all-conversations
Clone the repo
git clone --depth 1 https://github.com/BongSuCHOI/memex

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for analyzing-all-conversations

README.md
[![agentmods](https://agentmods.dev/badge/skills/bongsuchoi/memex/analyzing-all-conversations.svg)](https://agentmods.dev/skills/bongsuchoi/memex/analyzing-all-conversations)
Your own site
<a href="https://agentmods.dev/skills/bongsuchoi/memex/analyzing-all-conversations"><img src="https://agentmods.dev/badge/skills/bongsuchoi/memex/analyzing-all-conversations.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 387 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 $0.00047 $0.00387
Opus 5 $0.00023 $0.00193
Sonnet 5 $0.00009 $0.00077
Haiku 4.5 $0.00005 $0.00039

Measured 7d ago against content hash 3f1d191de3bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

analyzing-all-conversations 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.

skills/analyzing-all-conversations/SKILL.md · 51 lines

What it actually says

Analyzing All Conversations

Resolve PLUGIN_ROOT as two directories above this skill directory.

Establish coverage

Run the deterministic, read-only report before interpreting the corpus:

node "$PLUGIN_ROOT/cli/runtime-exec.js" memex analyze --json

Use its conversation/session/exchange/project/date totals, extraction and summary coverage, fact counts, domains, project rollups, timeline, and recommendations. Never recreate those numbers from sampled search results.

Close or disclose gaps

If requested and recommended by the report, start only the relevant explicit backfill:

node "$PLUGIN_ROOT/cli/runtime-exec.js" memex backfill extract --background
node "$PLUGIN_ROOT/cli/runtime-exec.js" memex backfill ontology --background
node "$PLUGIN_ROOT/cli/runtime-exec.js" memex sync

A started background worker is 진행 중, not complete. Re-run status --json only when the user needs a settled coverage result; otherwise report the exact pending counts and log path.

Add meaning

Use graph_stats for the scoped graph overview, search_facts for representative decisions/patterns/constraints, and cross_project_insights only with an explicit canonical current project. Produce the report in the user's language with:

  1. overall corpus and date range;
  2. extraction/summary coverage;
  3. project rollups and representative knowledge;
  4. domain/category distribution;
  5. activity timeline;
  6. remaining gaps and actions actually started.

Do not claim full coverage unless every required pending/missing counter is zero.

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 · 51 lines · 47 tokens per session scan A 3f1d191de3bc

Subscribe to this mod's changes

analyzing-all-conversations is a skill published in the GitHub repository BongSuCHOI/memex (0 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 387 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 2026-08-31.

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