Borrowing it
Nothing to install: this file belongs to lxyer/multi-agent-collaboration-system. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lxyer/multi-agent-collaboration-system/main/.agents/skills/record-session/SKILL.mdgit clone --depth 1 https://github.com/lxyer/multi-agent-collaboration-systemWrote 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/lxyer/multi-agent-collaboration-system/record-session)<a href="https://agentmods.dev/skills/lxyer/multi-agent-collaboration-system/record-session"><img src="https://agentmods.dev/badge/skills/lxyer/multi-agent-collaboration-system/record-session/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/lxyer/multi-agent-collaboration-system/record-session"><img src="https://agentmods.dev/badge/skills/lxyer/multi-agent-collaboration-system/record-session.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 | $0.00065 | $0.00661 |
| Opus 5.5 | $0.00026 | $0.00264 |
| Sonnet 5.5 | $0.00013 | $0.00132 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
record-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 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!] Prerequisite: This skill should only be used AFTER the human has tested and committed the code.
Do NOT run git commit directly — the scripts below handle their own commits for .trellis/ metadata. You only need to read git history (git log, git status, git diff) and run the Python scripts.
Record Work Progress
Step 1: Get Context & Check Tasks
python3 ./.trellis/scripts/get_context.py --mode record
[!] Archive tasks whose work is actually done — judge by work status, not the status field in task.json:
- Code committed? → Archive it (don't wait for PR)
- All acceptance criteria met? → Archive it
- Don't skip archiving just because
statusstill saysplanningorin_progress
python3 ./.trellis/scripts/task.py archive <task-name>
Step 2: One-Click Add Session
# Method 1: Simple parameters
python3 ./.trellis/scripts/add_session.py \
--title "Session Title" \
--commit "hash1,hash2" \
--summary "Brief summary of what was done"
# Method 2: Pass detailed content via stdin
cat << 'EOF' | python3 ./.trellis/scripts/add_session.py --stdin --title "Title" --commit "hash"
| Feature | Description |
|---------|-------------|
| New API | Added user authentication endpoint |
| Frontend | Updated login form |
**Updated Files**:
- `packages/api/modules/auth/router.ts`
- `apps/web/modules/auth/components/login-form.tsx`
EOF
Auto-completes:
- [OK] Appends session to journal-N.md
- [OK] Auto-detects line count, creates new file if >2000 lines
- [OK] Auto-detects Branch context (
--branchoverride; otherwise Branch = task.json -> current git branch; missing values are omitted gracefully) - [OK] Updates index.md (Total Sessions +1, Last Active, line stats, history)
- [OK] Auto-commits .trellis/workspace and .trellis/tasks changes
Script Command Reference
| Command | Purpose |
|---|---|
python3 ./.trellis/scripts/get_context.py --mode record |
Get context for record-session |
python3 ./.trellis/scripts/add_session.py --title "..." --commit "..." |
One-click add session (recommended, branch auto-complete) |
python3 ./.trellis/scripts/task.py archive <name> |
Archive completed task (auto-commits) |
python3 ./.trellis/scripts/task.py list |
List active tasks |
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 · 68 lines · 65 tokens per session scan A 6707f3df209a
record-session is a skill published in the GitHub repository lxyer/multi-agent-collaboration-system (1 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 661 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 2026-08-31.
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