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 skills/zyoffsec/airtight-secure-coding/airtightnpx skills add Zyoffsec/airtight-secure-coding --skill airtightgit clone --depth 1 https://github.com/Zyoffsec/airtight-secure-codingWrote 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/zyoffsec/airtight-secure-coding/airtight)<a href="https://agentmods.dev/skills/zyoffsec/airtight-secure-coding/airtight"><img src="https://agentmods.dev/badge/skills/zyoffsec/airtight-secure-coding/airtight.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.03168 |
| Opus 5 | $0.00032 | $0.01584 |
| Sonnet 5 | $0.00013 | $0.00634 |
| Haiku 4.5 | $0.00006 | $0.00317 |
Grade B, and why
airtight scanned grade B with 2 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 5d 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.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
| Deserializers, CDN script tags, `curl \| sh`, auto-update, inbound webhook payloads | `references/vectors/integrity.md` | Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
server, or run smoke tests / curl checks to verify** — emitting gate-passing code is the whole job. How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Airtight
AI writes your code. Who checks it?
Correct-looking code can still be unsafe, and the gap is rarely where people expect. Asked for "a
login endpoint", a competent model writes a good one: the password gets a memory-hard KDF, the cookie
gets httpOnly, the record lookup carries the owner. It knows all of that unprompted.
What it does not write is the part nobody mentioned. No rate limit, so the endpoint can be ground through a password list at full speed. No attempt counter, so nothing ever locks. No log line, so the grinding is invisible while it happens and unreconstructable afterwards. The developer asked for a login endpoint, not for one that survives contact with an attacker.
The default AI mistake is omission, not incompetence. Weight the gates accordingly: the ones that catch a missing bound, a missing counter, a missing record are the ones earning their place. Airtight is the part of the request nobody makes.
Scope — state it honestly, always
Airtight covers the well-known safe-coding mistakes AI makes by default: the errors that recur in nearly every AI-assisted app because the developer asked for a feature, not a safe feature.
Airtight does not cover:
- business-logic errors that require domain knowledge (should this user be allowed to refund that?)
- unknown flaws in third-party dependencies
- poor architecture
- memory safety in systems languages — buffer overflows, use-after-free, format strings. The registry is web-shaped. In C, C++ or unsafe Rust it has something to say about a request handler and nothing at all about the allocation underneath it. Say so rather than implying a clean pass.
Never say or imply the code is "secure" or "fully covered". Say what was checked and what was not. A safety tool that overpromises loses trust the first time it misses. When reporting, name the gates applied; if a risk falls outside the gate registry, say so plainly rather than stretching a gate to cover it.
The gates are yours to keep unless a guard holds them
What ships with it
16 files 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.
- references/gates.md 17 KB
- references/proof.md 9.0 KB
- references/vectors/authorization.md 9.1 KB
- references/vectors/credentials.md 11 KB
- references/vectors/crypto.md 13 KB
- references/vectors/csrf.md 6.1 KB
- references/vectors/dependencies.md 12 KB
- references/vectors/design.md 22 KB
- references/vectors/injection.md 7.9 KB
- references/vectors/input.md 11 KB
- references/vectors/integrity.md 13 KB
- references/vectors/logging.md 8.4 KB
- references/vectors/misconfig.md 12 KB
- references/vectors/secrets.md 7.7 KB
- references/vectors/ssrf.md 11 KB
- references/vectors/xss.md 7.5 KB
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.
- 5d ago First seen · 220 lines · 63 tokens per session scan B e6df3a408eeb
airtight is a skill published in the GitHub repository Zyoffsec/airtight-secure-coding (6 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 3,168 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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