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 trebormc/drupal-ai-agents --skill session-distillgit clone --depth 1 https://github.com/trebormc/drupal-ai-agentsWrote 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/trebormc/drupal-ai-agents/session-distill)<a href="https://agentmods.dev/skills/trebormc/drupal-ai-agents/session-distill"><img src="https://agentmods.dev/badge/skills/trebormc/drupal-ai-agents/session-distill/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/trebormc/drupal-ai-agents/session-distill"><img src="https://agentmods.dev/badge/skills/trebormc/drupal-ai-agents/session-distill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00189 | $0.01648 |
| Opus 5.5 | $0.00076 | $0.00659 |
| Sonnet 5.5 | $0.00038 | $0.00330 |
| Haiku 4.5 | $0.00019 | $0.00165 |
Grade B, and why
session-distill scanned grade B with 1 finding 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
grep -rli "KEYWORD" ~/.claude/skills/ ~/.claude/rules/ \ How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Distill
Turn session learnings into guidance that makes future runs faster and cheaper. The value is NOT documenting what worked — it is documenting the dead ends, so the next agent never walks into them.
Step 1 — Harvest candidates
Mine three sources: the current conversation, LESSONS_LEARNED.md, and Beads task
notes (bd show <id> --json for tasks touched this session). A candidate is:
- A solution that worked AFTER one or more failed attempts (the highest-value kind).
- A non-obvious environment/API fact that was verified in-session (command output, file read, passing test).
- A decision between approaches, with the rationale that settled it.
For each candidate, record: problem → attempts that failed and WHY each failed → final solution → root cause → the evidence (the exact command/output or file:line that confirmed it).
Epistemic gate (hard rule): only distill solutions with observed evidence in the session. "The error went away" without a derived cause is not distillable — the fix may have been the cache clear next to it. If the solution was merely the last thing tried, say so and skip it; fossilizing a superstition into permanent guidance poisons every future session. When in doubt, re-verify now (run the command, revert-and-retry) before distilling.
Step 2 — Classify
Tag each candidate on two axes:
- Failure type — use the taxonomy in the lessons-learned rule (CONFABULATION, ASSUMPTION_ERROR, KNOWLEDGE_GAP, STALE_KNOWLEDGE, ENVIRONMENT_QUIRK).
- Scope — PROJECT (paths, versions, quirks of THIS codebase: "this theme's build needs X") vs UNIVERSAL (true in any Drupal/DDEV project: "lazy builder args must be scalars").
Step 3 — Route to the right destination
Check for an existing home FIRST — grep the skills/rules for the topic before writing anything new:
# Covers both tools' synced copies plus the project's own skills/rules:
grep -rli "KEYWORD" ~/.claude/skills/ ~/.claude/rules/ \
~/.config/opencode/skills/ ~/.config/opencode/rules/ \
.claude/skills/ .claude/rules/ 2>/dev/null
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 · 137 lines · 189 tokens per session scan B b1024056a8d3
session-distill is a skill published in the GitHub repository trebormc/drupal-ai-agents (11 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 189 tokens to every session and 1,648 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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