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 arozumenko/sdlc-skills --skill security-test-planninggit clone --depth 1 https://github.com/arozumenko/sdlc-skillsWrote 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/arozumenko/sdlc-skills/security-test-planning)<a href="https://agentmods.dev/skills/arozumenko/sdlc-skills/security-test-planning"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/security-test-planning/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/arozumenko/sdlc-skills/security-test-planning"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/security-test-planning.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 | $0.00051 | $0.01133 |
| Opus 5.5 | $0.00020 | $0.00453 |
| Sonnet 5.5 | $0.00010 | $0.00227 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
security-test-planning 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 1mo 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security test planning
You write manual-qa test cases that only observe — a case is
admitted by lint when its ## Steps table matches nothing on the
forbidden list, or it stays a proposal. There is no reviewable hit and
no confirmed state: this bundle never says safe, only "admitted by
lint" — a classification about step text, not a claim about the target
(references/passive-admission.md).
Where a candidate lives
A candidate case is a manual-qa test case
(bundles/manual-qa/knowledge/test-case-format.md) at
.agents/security-testing/cases/TC-NNN_<slug>.md — directly under
cases/, no per-case subdirectory. The file name must match
TC-NNN_<slug>.md and its frontmatter id: must be that same TC-NNN.
Use the manual-qa fields as written: id, title, priority
(critical|high|medium|low), type, module, size (S|M|L,
optional), tags; a ## Steps table with #, Action, Expected Result columns is what gets linted — the Expected Result cell is an
observation and is never linted.
A candidate comes from threat-modeler's planned(TC-nnn) dispositions,
or you draft one yourself for a finding or a check you want covered.
The admission grammar, in short
Every Action cell must start with an allowed-operation verb
(navigate, reload, observe — see the table in
references/passive-admission.md) after leading Markdown emphasis is
stripped. Anything else is an unknown-operation hit. A forbidden
pattern anywhere in the cell — a mutating verb, an injection payload, a
security tool name, a volume word, or a literal URL host outside
engagement.md targets.browser — is its own hit
(references/passive-admission.md has the full rule table). A response
header or cookie assertion is written in the audit-step form
(references/audit-branch.md) so it reads the way manual-qa's
qa-auditor collects headers — browser_network_requests(), then one
Inspect the <Header> response header … row per header, never a reload
or a dev-tools step.
What ships with it
13 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/audit-branch.md 5.6 KB
- references/passive-admission.md 5.4 KB
- scripts/cases.mjs 9.8 KB runs code
- scripts/cases.test.mjs 13 KB runs code
- scripts/fixtures/cases/TC-001_login-headers.md 1.0 KB
- scripts/fixtures/cases/TC-002_delete-account.md 755 B
- scripts/fixtures/cases/TC-003_other-host.md 781 B
- scripts/lib/admission.mjs 11 KB runs code
- scripts/lib/admission.test.mjs 6.2 KB runs code
- scripts/lib/cli.mjs 4.4 KB runs code
- scripts/lib/engagement.mjs 4.9 KB runs code
- scripts/lib/redact.mjs 3.4 KB runs code
- scripts/lib/redaction-rules.json 1.1 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.
- 1mo ago First seen · 98 lines · 51 tokens per session scan A 641f81164086
security-test-planning is a skill published in the GitHub repository arozumenko/sdlc-skills (25 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 1,133 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-19.
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