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 nexus-substrate/nexus-agents --skill security-advisory-responsegit clone --depth 1 https://github.com/nexus-substrate/nexus-agentsWrote 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/nexus-substrate/nexus-agents/security-advisory-response)<a href="https://agentmods.dev/skills/nexus-substrate/nexus-agents/security-advisory-response"><img src="https://agentmods.dev/badge/skills/nexus-substrate/nexus-agents/security-advisory-response.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
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 →
- medium Prompt Injection · line 43 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Excessive Agency · line 47 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Prompt Injection · line 140 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00097 | $0.02174 |
| Opus 5 | $0.00048 | $0.01087 |
| Sonnet 5 | $0.00019 | $0.00435 |
| Haiku 4.5 | $0.00010 | $0.00217 |
Grade A, and why
security-advisory-response scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Advisory Response Skill
Adapted from paperclipai/paperclip deal-with-security-advisory skill. Handles the reporter-filed inbound path — the outbound path (our own discoveries) is covered by CLAUDE.md's Security Discovery Protocol (.security-discoveries.jsonl + draft advisories).
Core invariant: Everything about this process is confidential until the advisory is published. No PR titles, no commit messages, no branch names, no issue comments should reveal the vulnerability. Treat the coordinated-disclosure window as a Rule of Two scenario — processing untrusted reporter input AND editing repo state AND accessing secrets for release.
Phase 1 — Triage
Fetch the full advisory via the API (never paste content into chat, email, or Slack):
gh api "repos/${REPO}/security-advisories/GHSA-xxxx-xxxx-xxxx" \
--jq '{severity, summary, affected: .vulnerabilities}'
Assess:
- Severity: critical / high / medium / low — per CVSS if provided, otherwise conservative estimate
- Attack vector: network / local / physical; authenticated / unauthenticated
- Affected versions: which releases contain the bug
- Exploitability: PoC in the advisory? Public scanner fingerprint? Reachable from our default config?
Decision gate:
| Signal | Action |
|---|---|
| Critical or high severity, confirmed reproducible | Proceed to Phase 2 immediately |
| Medium/low, or unreproducible | Acknowledge reporter, investigate async; may downgrade to regular issue with reporter's consent |
| Cannot reproduce, no PoC, vague claim | Request PoC; do NOT close as "not a bug" without verification |
| Duplicate of a known issue already fixed | Reference existing fix in response; still credit reporter |
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.
- 8d ago First seen · 164 lines · 97 tokens per session scan A 138d9a24cf47
security-advisory-response is a skill published in the GitHub repository nexus-substrate/nexus-agents (18 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 2,174 once invoked, about $0.0005 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 2026-08-30.
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