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 tranhieutt/software_development_department --skill annotategit clone --depth 1 https://github.com/tranhieutt/software_development_departmentWrote 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/tranhieutt/software_development_department/annotate)<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/annotate"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/annotate/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/tranhieutt/software_development_department/annotate"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/annotate.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 | $0.00047 | $0.00879 |
| Opus 5.5 | $0.00019 | $0.00352 |
| Sonnet 5.5 | $0.00009 | $0.00176 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
annotate 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/annotate — Persist a Learned Lesson
You are adding a persistent annotation to the project's learned knowledge base. Annotations survive across sessions and auto-load when working with relevant services.
Arguments: $ARGUMENTS — format: <service> <description of gotcha/caveat>
Phase 1 — Parse the Annotation
Extract from $ARGUMENTS:
- Service/Library: The specific service, library, or area (e.g.,
stripe,next.js,postgresql) - Annotation text: The gotcha, caveat, or learned lesson
If $ARGUMENTS is empty or unclear, ask:
"What service/library does this apply to, and what did you discover?"
Phase 2 — Format the Entry
Format the annotation as:
- [YYYY-MM-DD] <clear, specific description of the issue> — <workaround if applicable>
Good example:
- [2026-04-07] Stripe webhook signature verification requires raw body buffer, not parsed JSON.
Pass rawBody to stripe.webhooks.constructEvent() instead of req.body
Bad example:
- Stripe webhooks broken ← too vague, no date, no solution
Apply this quality check before writing:
- ✅ Specific enough to be actionable without additional research?
- ✅ Includes the date?
- ✅ Includes workaround if one exists?
- ✅ Would a new developer understand this without context?
Phase 3 — Find or Create the Section
Read .claude/memory/annotations.md.
- Find the existing section that matches the service (case-insensitive)
- If no matching section exists, create one:
## <Service Name>
- [YYYY-MM-DD] <your annotation>
- If the section exists and has
*(no annotations yet)*, replace that line with the entry. - If the section exists with entries, append the new entry below the last one.
Phase 4 — Write and Confirm
Edit .claude/memory/annotations.md with the new entry.
Then confirm:
✅ Annotation saved to .claude/memory/annotations.md
Service: <service>
Entry: [YYYY-MM-DD] <annotation text>
This will auto-load in future sessions when working with <service>.
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 · 118 lines · 47 tokens per session scan A c560acacb62e
annotate is a skill published in the GitHub repository tranhieutt/software_development_department (73 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 879 once invoked, about $0.0002 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 2026-08-30.
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cm-continuity
Working memory protocol — maintains context across sessions via CONTINUITY.md. Inspired by Loki Mode. Read at turn start, update at turn end. Captures mistakes and learnings to prevent repeating errors.