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 aaif/community-events --skill aaif-audit-slackgit clone --depth 1 https://github.com/aaif/community-eventsWrote 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/aaif/community-events/aaif-audit-slack)<a href="https://agentmods.dev/skills/aaif/community-events/aaif-audit-slack"><img src="https://agentmods.dev/badge/skills/aaif/community-events/aaif-audit-slack/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/aaif/community-events/aaif-audit-slack"><img src="https://agentmods.dev/badge/skills/aaif/community-events/aaif-audit-slack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 95 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 64 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00200 | $0.06792 |
| Opus 5 | $0.00100 | $0.03396 |
| Sonnet 5 | $0.00040 | $0.01358 |
| Haiku 4.5 | $0.00020 | $0.00679 |
Grade A, and why
aaif-audit-slack 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 5d 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 — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AAIF Slack Audit
Three engines over one workspace, same house rules — everything is read-only.
Three reports, one measurement layer.
| Report | Script | Answers |
|---|---|---|
| Organizers | audit_organizers.py |
does each chapter have a home, and are the people we accepted in it? |
| Topics | audit_topics.py |
are the subjects the community organises around still alive, and can a newcomer find them? |
| Members | audit_members.py |
what does the workspace look like to an ordinary member? |
| Measurement layer | Script | Supplies |
|---|---|---|
| Activity | audit_activity.py |
last human message, message volume, distinct posters per channel — feeds the topics and member reports |
| Deliverable | Script | Produces |
|---|---|---|
| Where to focus | summarize_audits.py |
the single HTML report you hand over — an index into four full-report sections (Chapters, Organizers, Topics, Members), with a TL;DR ranking what to fix as the closing section |
Run whichever the user asked for. "Audit Slack" with no side named means all
three reports. Order is fixed: organizers → activity → topics → members.
The organizer engine goes first because it is the one with decisions attached.
Activity must precede topics and members because its cache is what supplies the
topic report's dormancy figures and the member report's "posted recently" line —
run either first and those numbers are missing from a report you have already
handed over. Topics additionally reads the organizer engine's audit.json to
exclude chapter rooms from its unclassified list, so it goes after organizers.
The output is ONE HTML report. Run the four collectors — they exist to fill
the cache and to be run standalone when someone wants just one side — then
summarize_audits.py composes the deliverable:
for s in organizers activity topics members; do
python3 ${CLAUDE_SKILL_DIR}/scripts/audit_$s.py
done
python3 ${CLAUDE_SKILL_DIR}/scripts/summarize_audits.py # -> slack-full-audit.html
rm -f slack-organizers-audit.html slack-topics-audit.html \
slack-members-audit.html slack-activity-audit.html # scaffolding, holds PII
Do not hand over four separate reports. Four files drift out of step with each
other the moment one is re-run, and the person reading them has to work out the
ranking that summarize_audits.py already did. Delete the four standalone
files once the combined one is written, for the same reason the caches are
0600 — a second copy of every member name and address in the working
directory is a liability, not a convenience.
Activity is not opt-in. Asking for the organizer or member side alone still
runs it, because its numbers are the only measured engagement in this skill and
every other activity signal here is a proxy the reports refuse to use. Skip it
only when the token lacks channels:history (the engine says so and exits) or
the user explicitly asks you not to. It needs a history-scoped token — see the
ceiling below — and answers questions about dead channels, engagement and
posting volume.
Tooling rule —
gws+ Python only. Every read, edit, and write of a Drive file goes through thegwsCLI, driven from Python. Prefer native Google formats: editapplication/vnd.google-apps.*files with the Docs/Sheets/ Slides API. Drop to byte-level OOXML surgery on the.docx/.pptx/.xlsxzip parts (embedded fonts and untouched parts survive) only when the file genuinely is a stored Office file. Never use LibreOffice /soffice— not to edit, not to convert, and not to render a "just checking it locally" preview: it substitutes local system fonts for the brand fonts and drops OOXML it doesn't understand, so its output and its renders both misrepresent the real file. Same forunoconvand any desktop office suite. To see a file, render it through the API instead — a slide viaaaif_events.slides_export.render_slide_png, a doc viagws drive files copyto a Google Doc →gws drive files exportto PDF → trash the copy. Never round-trip a native Doc through.docx— it strips native features like Tabs.
What ships with it
8 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.
- scripts/audit_activity.py 12 KB runs code
- scripts/audit_members.py 25 KB runs code
- scripts/audit_organizers.py 70 KB runs code
- scripts/audit_topics.py 27 KB runs code
- scripts/summarize_audits.py 26 KB runs code
- scripts/test_audit_organizers.py 32 KB runs code
- scripts/test_audit_topics.py 14 KB runs code
- scripts/test_summarize_audits.py 2.9 KB runs code
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.
- 5d ago Changed · +10 lines · +1 tokens per session 7cc6f5fa2c16
- 10d ago First seen · 497 lines · 199 tokens per session scan A 5c6d8d4544b2
aaif-audit-slack is a skill published in the GitHub repository aaif/community-events (9 stars, last pushed today), licensed MIT. It adds 200 tokens to every session and 6,792 once invoked, about $0.0010 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 2026-08-31.
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