distill-skill

distill-skill is a skill for Claude Code from digital-stoic-org/agent-skills. It costs 84 tokens per session (1,016 once invoked), scanned A, original, MIT.

A session recorder and skill-drafting tool for Claude Code, an AI coding assistant. It captures what happened during a session and turns repeated methods into reusable skills.

In plain words
What is it for?
Recording a session, reviewing its progress, and extracting a generalized skill from the work.
Why use it?
It helps preserve useful workflows instead of reconstructing them from memory.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; mentions Claude Code.

Part of the experimental plugin — 9 skills, 1 agent shipped together

Good fit Recording a session, reviewing its progress, and extracting a generalized skill from the work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/digital-stoic-org/agent-skills/distill-skill
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 digital-stoic-org/agent-skills --skill distill-skill
Clone the repo
git clone --depth 1 https://github.com/digital-stoic-org/agent-skills

Made for: Claude Code.

Or install experimental, the plugin that ships this one along with the rest of its 9 skills, 1 agent.

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 distill-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/distill-skill/github.svg)](https://agentmods.dev/skills/digital-stoic-org/agent-skills/distill-skill)
Your own site
<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/distill-skill"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/distill-skill/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.

agentmods 80×15 button for distill-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/distill-skill"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/distill-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,016 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, 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 Excessive Agency · line 6
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
How audits are shown
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 $0.00084 $0.01016
Opus 5.5 $0.00034 $0.00406
Sonnet 5.5 $0.00017 $0.00203
Haiku 4.5 $0.00008 $0.00102

Measured 1mo ago against content hash 4159bd8a2374, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

distill-skill 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.

experimental/skills/distill-skill/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Distill Skill — Session → Skill

Record a CC session, then distill it into a generalized skill via edit-tool. Two modes: forward (record as we go) and retrospective (parse session-so-far).

Modes

Arg Mode When
start Forward User invokes at/near session start. Creates trace dir, annotates turns going forward.
finalize Close out End of session. Run search-skill dedup, propose split, hand to edit-tool.
status Inspect Show current trace dir + turn count + friction/confusion tally.
(none) Retrospective Parse session-so-far. ⚠️ Warn if compaction may have occurred (turn count high / early context lost).

Workflow

1. start — initialize trace

: "${PRAXIS_DIR:?PRAXIS_DIR must be set}"
SID=$(date -Iseconds | tr ':+' '-')
DIR="$PRAXIS_DIR/.tmp/distill-skill/$SID"
mkdir -p "$DIR"
echo "$DIR" > "$PRAXIS_DIR/.tmp/distill-skill/.current"

Create three files in $DIR:

  • trace.jsonl — append-only per-turn: {ts, turn, user_intent, tools_used, files_touched, outcome, friction?, confusion_flag?}
  • draft.yaml — RISEN-lite scaffold (see reference.md)
  • anti-patterns.md — what didn't work + why

Respond: 🎬 Recording to $DIR. Annotate turns as you go. /distill-skill finalize when done.

2. Annotate each turn

After each meaningful turn, append to trace.jsonl — fields: user_intent (generalized, not verbatim) · tools_used · files_touched · outcome ∈ {ok,retry,abandoned} · friction (verbatim correction, if any) · confusion_flag (true if assistant asked clarifying Q → signals upfront disambiguation needed).

Keep draft.yaml filled progressively as evidence accumulates.

3. finalize — distill

  1. Compaction check (retrospective only): turn >30 or early context lost → warn, confirm start-of-session facts first.
  2. Generalize: trace.jsonl + draft.yaml → strip session-specifics.
  3. Dedup: /search-skill <intent> → report overlap verdict. Mandatory.
  4. Split: ≥2 distinct end-goals with disjoint tools/inputs → propose split, confirm.
  5. Preload scan: Glob $PRAXIS_DIR/reference/ for frameworks referenced → list as @include candidates.
  6. Handoff: /edit-tool with draft.yaml + anti-patterns.md → it triages (skill/bash/agent) and writes. Never write final skill directly.
  7. Kaizen: each retry-friction → append to $PRAXIS_DIR/thinking/kaizen/distill-skill.jsonl.

Read the full file on GitHub · 79 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 79 lines · 84 tokens per session scan A 4159bd8a2374

Subscribe to this mod's changes

distill-skill is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 12d ago), licensed MIT. It adds 84 tokens to every session and 1,016 once invoked, about $0.0003 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 2026-09-04.

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