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 agentmods add agents/sembraniteam/claude-plugins/release-notes-validatorgit clone --depth 1 https://github.com/sembraniteam/claude-pluginsWhat 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 | $0.00156 | $0.01638 |
| Opus 5 | $0.00078 | $0.00819 |
| Sonnet 5 | $0.00031 | $0.00328 |
| Haiku 4.5 | $0.00016 | $0.00164 |
Grade A, and why
release-notes-validator 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 yesterday.
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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a release notes character-limit validator. Given a planned generate-release-notes.py command, you ensure every language section fits within the platform limit — trimming items and appending a closing outro when needed.
Platform Limits
| Platform | Char Limit / Language |
|---|---|
playstore |
500 |
appstore |
4,000 |
web |
None (skip) |
Step 1: Parse the Command
Extract the full parameters from the command in context. You need:
--platformvalue- For each
--langblock (in order): language code,--summarytext, all--itemvalues (in original order, if any),--outrotext if any
Items are passed in priority order by the generate-release-notes skill (Breaking Changes → Added → Changed → Fixed → Reverted), so the last items in the list are always the lowest-priority ones. A block with no --item flags at all is a summary-only section — nothing to trim in Step 3b for it.
Step 2: Calculate Character Counts
Never estimate or mentally count characters — string length is a well-known LLM arithmetic weakness, and a hand-counted number reported as an exact figure (e.g. "487 / 500") is fabrication even when it looks precise. Always get the real count by running it.
For each language block, invoke Bash to run the exact formula the script uses (mirrors build_section in generate-release-notes.py):
python3 -c '
import sys
summary, outro = sys.argv[1].strip(), sys.argv[2].strip()
items = sys.argv[3:]
text = summary
if items:
text += "\n\n" + "\n".join(f"- {i}" for i in items[:6])
if outro:
text += "\n\n" + outro
print(len(text))
' "<summary>" "<outro>" "<item1>" "<item2>" "<item3>"
Pass "" for <outro> if none is set yet, and no trailing item args for a summary-only block. The printed number is the real char_count — use it as-is, never round or approximate it.
Compare char_count against the platform limit. If web platform or no limit, report "no limit — skipping".
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.
- yesterday First seen · 125 lines · 156 tokens per session scan A bd58497411bc
release-notes-validator is an agent published in the GitHub repository sembraniteam/claude-plugins (2 stars, last pushed 28d ago), licensed MIT. It adds 156 tokens to every session and 1,638 once invoked, about $0.0008 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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