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 shennawardana23/skillme --skill security-analysisgit clone --depth 1 https://github.com/shennawardana23/skillmeWrote 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/shennawardana23/skillme/security-analysis)<a href="https://agentmods.dev/skills/shennawardana23/skillme/security-analysis"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/security-analysis/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/shennawardana23/skillme/security-analysis"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/security-analysis.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 | $0.00087 | $0.01383 |
| Opus 5 | $0.00044 | $0.00691 |
| Sonnet 5 | $0.00017 | $0.00277 |
| Haiku 4.5 | $0.00009 | $0.00138 |
Grade A, and why
security-analysis 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 6d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- Command: `exec.Command`/`os/exec`/`subprocess`/`child_process.exec` where any argument traces back to external input How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Analysis
Two passes, run in order. The static pass is mechanical and exhaustive — report every match, even ones that turn out to be false positives on inspection, and only discard a match after confirming why it's safe. The reasoning pass catches what patterns structurally cannot: this is not a re-run of security-review's priority checklist or security-and-hardening's proactive threat-modeling — it's a scan workflow that ends in a severity-counted findings report.
Pass 1: static pattern scan
Check every category below against the target. Treat this like a grep sweep — you're looking for shapes, not judging exploitability yet.
Injection
- SQL: string concatenation or
fmt.Sprintf/+building a query with an external value; raw input placed directly in aWHERE/ORDER BYclause - Command:
exec.Command/os/exec/subprocess/child_process.execwhere any argument traces back to external input - Template: untrusted input rendered through a non-escaping template engine (Go
text/templateinstead ofhtml/template) - LDAP: unsanitized input interpolated into an LDAP filter string
Credential and secret exposure
- Hardcoded passwords, API keys, tokens, connection strings in source
- Secrets appearing in log statements, even at DEBUG level
- Secrets or internal detail echoed back in error responses
- Environment variables logged directly instead of redacted
Authentication and authorization
- Endpoints reachable with no authentication check at all
- Authentication present but no check that the caller is authorized for this resource (ownership/role check)
- JWT validation skipped, or
alg: none/unverified-signature acceptance - Session tokens with low entropy or no expiry
Cryptographic weaknesses
- MD5 or SHA1 for anything security-sensitive (password hashing, MACs)
- ECB mode block ciphers
- Hardcoded IV/nonce (reused nonce breaks stream-cipher and GCM confidentiality)
math/rand(or language equivalent) used for tokens, session IDs, or anything security-sensitive
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.
- 6d ago First seen · 101 lines · 87 tokens per session scan A ff624cab820e
security-analysis is a skill published in the GitHub repository shennawardana23/skillme (2 stars, last pushed 11d ago), licensed Apache-2.0. It adds 87 tokens to every session and 1,383 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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