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 flavien-ia/hypervibe-harness --skill _dns-gandigit clone --depth 1 https://github.com/flavien-ia/hypervibe-harnessWrote 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/flavien-ia/hypervibe-harness/_dns-gandi)<a href="https://agentmods.dev/skills/flavien-ia/hypervibe-harness/_dns-gandi"><img src="https://agentmods.dev/badge/skills/flavien-ia/hypervibe-harness/_dns-gandi/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/flavien-ia/hypervibe-harness/_dns-gandi"><img src="https://agentmods.dev/badge/skills/flavien-ia/hypervibe-harness/_dns-gandi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 10 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 3 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.
- high Privilege Escalation · line 19 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.
- high Privilege Escalation · line 40 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.
- high Supply Chain · line 88 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 30 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 66 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 78 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 93 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 107 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 88 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00054 | $0.01766 |
| Opus 5 | $0.00027 | $0.00883 |
| Sonnet 5 | $0.00011 | $0.00353 |
| Haiku 4.5 | $0.00005 | $0.00177 |
Grade A, and why
_dns-gandi scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Gandi has no official CLI that handles the nameserver change - we call their **REST API v5** directly with `curl`. Auth via a Personal Access Token (PAT) Bearer. How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
_dns-gandi - Point a Gandi domain to Cloudflare
Communication
- Detect the user's language from the conversation (the user's own messages, anywhere in the session - not just this invocation: a bare slash command like
/bootstrapcarries no language signal by itself). If nothing in the conversation gives a signal, fall back to the OS locale (node -e "console.log(Intl.DateTimeFormat().resolvedOptions().locale)") before defaulting to English. ALWAYS reply in that language for every user-facing message: questions, progress, confirmations, summaries, errors - including any example text quoted in this skill, which is illustrative and must be translated, never sent verbatim. - Use plain, non-technical business language. Never expose internal script names (*.mjs) or jargon; describe actions in human terms.
- When generating user-facing content for the scaffolded project (UI labels, emails, copy), write it in the user's language too.
- Show progress as a short natural-language checklist (in-progress and done states).
You receive as input: <domain>, <ns1_cloudflare>, <ns2_cloudflare>. Your job: change the domain's nameservers at Gandi so they point to <ns1_cloudflare> and <ns2_cloudflare>. You then return to /add-domain.
Gandi has no official CLI that handles the nameserver change - we call their REST API v5 directly with curl. Auth via a Personal Access Token (PAT) Bearer.
Step 1 - Verify that the Gandi PAT is available
The PAT lives in the vault (item GANDI, field api_token). First make sure the vault is open (follow _ensure-vault), then load it and test:
VAULT="${CLAUDE_SKILL_DIR}/../../scripts/vault/vault.mjs"
export GANDI_API_TOKEN=$(node "$VAULT" get GANDI api_token 2>/dev/null)
[ -n "$GANDI_API_TOKEN" ] && curl -s -o /dev/null -w "%{http_code}" \
-H "Authorization: Bearer $GANDI_API_TOKEN" \
https://api.gandi.net/v5/organization/user-info
- If the token exists AND the request returns
200-> go to Step 3. - Otherwise -> Step 2.
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.
- 11d ago First seen · 129 lines · 54 tokens per session scan A 40de06d003db
_dns-gandi is a skill published in the GitHub repository flavien-ia/hypervibe-harness (37 stars, last pushed today), licensed Apache-2.0. It adds 54 tokens to every session and 1,766 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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