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.
npx skills add digital-stoic-org/agent-skills --skill distill-skillgit clone --depth 1 https://github.com/digital-stoic-org/agent-skillsWrote 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/digital-stoic-org/agent-skills/distill-skill)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00084 | $0.01016 |
| Opus 5.5 | $0.00034 | $0.00406 |
| Sonnet 5.5 | $0.00017 | $0.00203 |
| Haiku 4.5 | $0.00008 | $0.00102 |
Grade A, and why
distill-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Distill Skill — Session → Skill
Record a CC session, then distill it into a generalized skill via edit-tool. Two modes: forward (record as we go) and retrospective (parse session-so-far).
Modes
| Arg | Mode | When |
|---|---|---|
start |
Forward | User invokes at/near session start. Creates trace dir, annotates turns going forward. |
finalize |
Close out | End of session. Run search-skill dedup, propose split, hand to edit-tool. |
status |
Inspect | Show current trace dir + turn count + friction/confusion tally. |
| (none) | Retrospective | Parse session-so-far. ⚠️ Warn if compaction may have occurred (turn count high / early context lost). |
Workflow
1. start — initialize trace
: "${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 (seereference.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
- Compaction check (retrospective only): turn >30 or early context lost → warn, confirm start-of-session facts first.
- Generalize:
trace.jsonl+draft.yaml→ strip session-specifics. - Dedup:
/search-skill <intent>→ report overlap verdict. Mandatory. - Split: ≥2 distinct end-goals with disjoint tools/inputs → propose split, confirm.
- Preload scan: Glob
$PRAXIS_DIR/reference/for frameworks referenced → list as@includecandidates. - Handoff:
/edit-toolwithdraft.yaml+anti-patterns.md→ it triages (skill/bash/agent) and writes. Never write final skill directly. - Kaizen: each
retry-friction → append to$PRAXIS_DIR/thinking/kaizen/distill-skill.jsonl.
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.
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 First seen · 79 lines · 84 tokens per session scan A 4159bd8a2374
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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