encode-session

encode-session is a skill for Claude Code, Codex from zkysar1/Claude-Mind. It costs 120 tokens per session (14,083 once invoked), scanned A, original, MIT.

A structured review of a completed chat session that turns useful lessons into reusable records for an agent.

In plain words
What is it for?
Use it to capture reasoning lessons, safeguards, patterns, experiences, follow-up maintenance tasks, blockers, and possible new goals.
Why use it?
Without this review, insights from a conversation can disappear after the session ends.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/zkysar1/claude-mind/encode-session
Any agent
npx skills add zkysar1/Claude-Mind --skill encode-session
Clone the repo
git clone --depth 1 https://github.com/zkysar1/Claude-Mind

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 encode-session

README.md
[![agentmods](https://agentmods.dev/badge/skills/zkysar1/claude-mind/encode-session.svg)](https://agentmods.dev/skills/zkysar1/claude-mind/encode-session)
Your own site
<a href="https://agentmods.dev/skills/zkysar1/claude-mind/encode-session"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/encode-session.svg" alt="Measured on agentmods" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 14,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00120 $0.14083
Opus 5 $0.00060 $0.07042
Sonnet 5 $0.00024 $0.02817
Haiku 4.5 $0.00012 $0.01408

Measured today against content hash 46bcf12042a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

encode-session 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 today.

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.

.claude/skills/encode-session/SKILL.md · 996 lines

How it starts

The opening of the file, as written. The whole thing — 996 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/encode-session — Session Learning Consolidation

The chat-context analogue of the autonomous loop's Phase 6.5 (/aspirations-spark) and Phase 8 (/aspirations-state-update): runs the same structured learning lanes, but on the just-completed chat session rather than a single goal execution.

Why this exists: in assistant mode the autonomous loop is not running, so the post-goal sparks and state-update lanes never fire. Without a deliberate trigger, chat-mode learning is lost — files get edited, the user moves on, and no encoding happens. /encode-session is that deliberate trigger.

This skill is intentionally a thin orchestrator: it reuses the same scripts and same protocol blocks as /aspirations-spark Phase 6.5, just adapted for conversation input rather than goal-record input. The two skills must evolve together — when one's encoding logic changes, the other should mirror it.

JSON Construction Policy (MANDATORY)

Every encoding sub-lane below invokes an *-add.sh script that accepts JSON on stdin. Build payloads inline — do NOT materialize them to disk first:

printf '%s' '{"title":"...","type":"success",...}' \
  | bash core/scripts/reasoning-bank-add.sh

This applies uniformly to reasoning-bank-add.sh, guardrails-add.sh, aspirations-add-goal.sh, experience-add.sh, and every other encoding entry point.

If a payload is too complex to inline (rare — encoding records are almost always < 2 KB), the only sanctioned scratch home is agents/<name>/sessions/<SID>/scratch/ (Phase 2.6 — see .claude/rules/path-resolution.md "L1 Cruft Prevention"). Two prohibitions:

  • NEVER PROJECT_ROOT/.scratch-encode-session/ or any other invented top-level dir at the repo root. The L1 hook only governs Write/Edit, so a mkdir + heredoc via Bash bypasses it silently — the prohibition lives at the SKILL.md layer to close that gap.
  • Always delete scratch at end-of-skill in the same turn that applies the encodings. Orphan staging files are cruft even when the encodings landed successfully.

Read the full file on GitHub · 996 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. today Changed · +2 lines 46bcf12042a0
  2. 4d ago First seen · 994 lines · 120 tokens per session scan A b1a2e66c81b9

Subscribe to this mod's changes

encode-session is a skill published in the GitHub repository zkysar1/Claude-Mind (5 stars, last pushed today), licensed MIT. It adds 120 tokens to every session and 14,083 once invoked, about $0.0006 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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