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/synaptiai/agent-capability-standard/verifynpx skills add synaptiai/agent-capability-standard --skill verifygit clone --depth 1 https://github.com/synaptiai/agent-capability-standardWrote 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/synaptiai/agent-capability-standard/verify)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/verify"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/verify.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 | $0.00037 | $0.02165 |
| Opus 5 | $0.00018 | $0.01082 |
| Sonnet 5 | $0.00007 | $0.00433 |
| Haiku 4.5 | $0.00004 | $0.00216 |
Grade A, and why
verify 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 4d 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Live Context
Before verification, gather current state:
- Working directory: !
pwd - Git status: !
git status --short 2>/dev/null || echo "Not a git repo" - Recent commits: !
git log --oneline -5 2>/dev/null || echo "No git history" - Last modified files: !
find . -type f -mmin -30 -not -path './.git/*' 2>/dev/null | head -10 || echo "None"
Intent
Execute verify to determine whether an artifact (code, configuration, state, output) conforms to a specification, passes tests, or satisfies declared invariants.
Success criteria:
- Clear PASS or FAIL verdict with supporting evidence
- Every check is grounded to observable output or file content
- Failures include actionable fix suggestions
- All assumptions about expected behavior are explicit
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
spec |
Yes | string|object | The specification, test suite, or invariants to check against |
artifact |
Yes | string|object | The target being verified (file path, function, API endpoint, state) |
constraints |
No | object | Verification constraints: timeout, test filter, coverage threshold |
check_types |
No | array | Types of checks: assertion, invariant, regression, schema |
Procedure
-
Load specification: Read the spec/test/invariant definition
- Identify testable assertions from the spec
- Parse test commands or invariant expressions
- Note any preconditions required for verification
-
Examine artifact: Inspect the target being verified
- Read relevant code, config, or state
- Identify the specific behavior/properties to check
- Check preconditions are met before running tests
-
Execute checks: Run each verification check systematically
- For test suites: execute via Bash, capture stdout/stderr
- For invariants: evaluate conditions, record boolean results
- For schema validation: compare structure against schema
- Record timing and resource usage if relevant
What ships with it
3 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.
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.
- 4d ago First seen · 280 lines · 37 tokens per session scan A ec944d4bc2af
verify is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 37 tokens to every session and 2,165 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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