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 regen-coordination/org-os-template --skill meeting-notes-transcription-fixergit clone --depth 1 https://github.com/regen-coordination/org-os-templateWrote 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/regen-coordination/org-os-template/meeting-notes-transcription-fixer)<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/meeting-notes-transcription-fixer"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/meeting-notes-transcription-fixer/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/regen-coordination/org-os-template/meeting-notes-transcription-fixer"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/meeting-notes-transcription-fixer.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 | $0.00075 | $0.01630 |
| Opus 5 | $0.00037 | $0.00815 |
| Sonnet 5 | $0.00015 | $0.00326 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
meeting-notes-transcription-fixer 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 9d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Notes Transcription Fixer
Standardize legacy and recent meeting files in an org-os instance without destroying transcript authenticity.
Each instance can maintain its own terminology dictionary (e.g.,
data/transcription-fixes.yamllisting recurring transcription errors likeCOI→KOI,Luis→Luizfernando,Zargon→Zargham, etc.). The skill consumes this dictionary at runtime.
When to Use
- Before
meeting-processor, when raw notes contain transcription errors (typos in proper nouns, acronyms misheard by the transcription tool, names of org-specific concepts/people) - Auditing the meeting backlog in
packages/operations/meetings/for missing frontmatter / project links / sections - Batch normalization of historical meeting files
Customization required before first use in a new instance: The Python scripts under
scripts/(fix_meeting_terminology.py,audit_meeting_notes.py,build_fix_queue.py,fix_meeting_frontmatter.py) ship with example dictionaries from the originating instance (ReFi DAO OS) — proper nouns, acronyms, project mappings. Before running them in your instance, editfix_meeting_terminology.py(TERMINOLOGY_FIXES tuple) andfix_meeting_frontmatter.py(PROJECT_MAPPING dict) to reflect the recurring transcription errors and project names in your meeting corpus. Future work (tracked asmeeting-notes-transcription-fixer-externalize-dict): move dictionaries to per-instancedata/transcription-fixes.yamlso the scripts become fully generic.
When NOT to Use
- One-off, clean meeting transcripts → go straight to
meeting-processor - Processing notes that aren't yet in
packages/operations/meetings/(use this AFTERmeeting-processorhas filed them, or run on the source vault location first)
Core Rules
- Preserve meaning; never invent attendees, decisions, or action items.
- Preserve transcript authenticity; fix only obvious transcription errors.
- Run safe/reversible operations first (audit + metadata dry-run).
- Keep conflict/hash-suffixed files out of automatic writes unless explicitly requested.
What ships with it
4 files 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.
- 9d ago First seen · 156 lines · 75 tokens per session scan A e79d98ae507d
meeting-notes-transcription-fixer is a skill published in the GitHub repository regen-coordination/org-os-template (5 stars, last pushed 6d ago), licensed MIT. It adds 75 tokens to every session and 1,630 once invoked, about $0.0004 per session on Opus 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 2026-09-03.
Other skills, from other repositories
status-card-query
Create and maintain agent-authored Paperclip status cards, or compile a prose interest prompt into bounded CompanySearchQuery objects and write the first summary from the assigned Summarizer run.
anti-sleep
Keep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.
media-asset-management
Plan and run a media pipeline for images, video, and downloadable assets. Use this skill when designing image storage and delivery, choosing formats (WebP, AVIF), setting up responsive images, picking a video host, organizing a brand asset library, or auditing a slow image pipeline. Triggers on image pipeline, asset…
security-baseline
Establish a security baseline for a website or web app. Use this skill when configuring HTTPS and TLS, setting security headers, planning secrets management, evaluating CSP policies, doing a basic security audit, or hardening a site before launch. Triggers on security headers, HTTPS, TLS, CSP, content security policy…
after-action-report
Run a structured after-action review (postmortem, retrospective) on a launch, incident, or completed project to capture timeline, root cause analysis, contributing factors, and actionable lessons. Use this skill whenever the user wants to run a postmortem, retrospective, AAR, or after-action review on any past event.…
email-deliverability
Make sure email actually reaches inboxes. Use this skill when setting up email authentication (SPF, DKIM, DMARC), diagnosing emails landing in spam, planning a domain reputation strategy, monitoring sender reputation, or hardening against email spoofing. Triggers on email deliverability, SPF, DKIM, DMARC, spam folder…