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 fastly/fastly-agent-toolkit --skill fastly-ngwafgit clone --depth 1 https://github.com/fastly/fastly-agent-toolkitWrote 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/fastly/fastly-agent-toolkit/fastly-ngwaf)<a href="https://agentmods.dev/skills/fastly/fastly-agent-toolkit/fastly-ngwaf"><img src="https://agentmods.dev/badge/skills/fastly/fastly-agent-toolkit/fastly-ngwaf.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 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.
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 | $0.00157 | $0.02044 |
| Opus 5 | $0.00078 | $0.01022 |
| Sonnet 5 | $0.00031 | $0.00409 |
| Haiku 4.5 | $0.00016 | $0.00204 |
Grade A, and why
fastly-ngwaf 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -H "Fastly-Key: $FASTLY_API_KEY" \ How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fastly NGWAF Workspace Audit
Audits NGWAF workspaces to verify critical templated rules are configured and enabled. Use the fastly-cli skill to configure rules; this skill identifies gaps.
Quick Start
Run the bundled assessment script (requires jq and FASTLY_API_KEY):
./scripts/assess_ngwaf_rules.sh
For manual inspection or partial audits, work through the steps below with the fastly CLI.
The CLI ignores FASTLY_API_KEY. Its precedence is --token > FASTLY_API_TOKEN > fastly.toml profile > default
stored token. To reuse the script's credential:
export FASTLY_API_TOKEN="$FASTLY_API_KEY"
Audit Workflow
- List workspaces — verify the account has NGWAF workspaces
- Fetch rules per workspace — retrieve each workspace's rule set
- Validate critical signals — confirm required rules exist and are enabled
- Flag gaps and search for uncovered endpoints — report missing/disabled rules
- Check attack traffic against blocked traffic — confirm enabled rules are actually blocking
Step 1: List Workspaces
fastly ngwaf workspace list --json | jq -r '.data[].id'
If empty, NGWAF is not configured for this account.
Step 2: Fetch Rules for a Workspace
fastly ngwaf workspace rule list --workspace-id "$WORKSPACE_ID" --json
Both list commands return {"data": [...], "meta": {...}} and cap at 100 items with no flag to raise it. Check
.meta.total; above 100, fall back to GET /ngwaf/v1/workspaces?limit=200 or .../rules?limit=200.
rule list also takes --enabled and --action to filter server-side.
Step 3: Validate Critical Signals
For each workspace, verify these templated rules exist and enabled is true:
| Category | Required Signals |
|---|---|
| Login Protection | LOGINDISCOVERY, LOGINATTEMPT, LOGINSUCCESS, LOGINFAILURE |
| Credit Card Validation | CC-VAL-ATTEMPT, CC-VAL-FAILURE, CC-VAL-SUCCESS |
| Gift Card Validation | GC-VAL-ATTEMPT, GC-VAL-FAILURE, GC-VAL-SUCCESS |
What ships with it
1 file 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.
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 · 174 lines · 157 tokens per session scan A 858cfa09f85c
fastly-ngwaf is a skill published in the GitHub repository fastly/fastly-agent-toolkit (32 stars, last pushed 8d ago), licensed MIT. It adds 157 tokens to every session and 2,044 once invoked, about $0.0008 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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