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 mir-am/skills-agents-ai-coding --skill session-notegit clone --depth 1 https://github.com/mir-am/skills-agents-ai-codingWrote 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/mir-am/skills-agents-ai-coding/session-note)<a href="https://agentmods.dev/skills/mir-am/skills-agents-ai-coding/session-note"><img src="https://agentmods.dev/badge/skills/mir-am/skills-agents-ai-coding/session-note/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/mir-am/skills-agents-ai-coding/session-note"><img src="https://agentmods.dev/badge/skills/mir-am/skills-agents-ai-coding/session-note.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 | $0.00013 | $0.02041 |
| Opus 5.5 | $0.00005 | $0.00816 |
| Sonnet 5.5 | $0.00003 | $0.00408 |
| Haiku 4.5 | $0.00001 | $0.00204 |
Grade A, and why
session-note 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 22d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What I do
- Create
.opencode/notes/directory if it doesn't exist - Generate timestamped markdown file:
YYYY-MM-DD-HHmm-<description>.md - Document files changed with diffs (truncated with git reference for full diff)
- Capture incomplete todos from TodoWrite if present
- Provide 2-3 sentence summary of where the session left off
- Multiple notes per session create new files with incremented timestamps
When to use me
Use this skill when:
- User explicitly requests a session note
- User wants to pause work and capture current state for later continuation
- User needs to document progress before switching tasks/projects
Note Creation Workflow
- Create directory:
mkdir -p .opencode/notes - Generate filename:
- Extract main task from conversation context
- Format:
YYYY-MM-DD-HHmm-<brief-description>.md - Example:
2026-02-14-1630-add-csv-export.md - Description: kebab-case, max 4-5 words from main task
- Fallback:
work-sessionif task unclear
- Gather context:
- Scan conversation for accomplished work
- Identify main goals and outcomes
- Detect file changes:
- If git repo:
git status --short - Parse:
M= modified,A/??= created,D= deleted - If not git: extract from conversation (files agent wrote/edited)
- If git repo:
- Get diffs:
- For modified files:
git diff <file>(if git available) - For new files: read first 20-30 lines or key sections
- Truncate large diffs (see diff handling below)
- For modified files:
- Extract todos:
- Check if TodoWrite was used in session
- Filter for
status: pendingorstatus: in_progress - Format as markdown checklist
- Write note with structure below
- Confirm: Tell user the note location
Filename Generation
- Pattern:
YYYY-MM-DD-HHmm-<description>.md - Timestamp:
date +%Y-%m-%d-%H%M - Description extraction:
- Scan conversation for primary task/goal
- Extract key verbs + objects: "add CSV export" →
add-csv-export - Sanitize: lowercase, spaces→hyphens, remove special chars
- Max 4-5 words, keep concise
- Examples:
2026-02-14-1630-add-csv-export.md2026-02-14-1845-fix-memory-leak.md2026-02-14-2015-refactor-auth-module.md
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.
- 22d ago Changed · -1 lines 533b69590674
- 1mo ago First seen · 271 lines · 13 tokens per session scan A 796259afae4e
session-note is a skill published in the GitHub repository mir-am/skills-agents-ai-coding (2 stars, last pushed 23d ago), licensed MIT. It adds 13 tokens to every session and 2,041 once invoked, about $0.0001 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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