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 joris887/exosuit --skill claude-sense-checkgit clone --depth 1 https://github.com/joris887/exosuitWrote 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/joris887/exosuit/claude-sense-check)<a href="https://agentmods.dev/skills/joris887/exosuit/claude-sense-check"><img src="https://agentmods.dev/badge/skills/joris887/exosuit/claude-sense-check/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/joris887/exosuit/claude-sense-check"><img src="https://agentmods.dev/badge/skills/joris887/exosuit/claude-sense-check.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 | $0.00029 | $0.01314 |
| Opus 5 | $0.00015 | $0.00657 |
| Sonnet 5 | $0.00006 | $0.00263 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
claude-sense-check 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 11d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
claude-sense-check
Performing incremental Claude Sense Check on UAT backlog.
Phase 1: Read Current State
- Find the UAT tracking file: check for
docs/testing/UAT_COVERAGE.md,docs/testing/UAT_INDEX.md, ordocs/testing/uat/directory - Scan for Claude Sense Check sections in every test case
- Build a work queue: cases where
- [ ] Logic verified from code perspectiveis unchecked - Skip cases where the checkbox is already
[x] - If all cases are checked, report "All UAT cases have been sense-checked" and stop
Phase 2: Pick Next Batch
From the unchecked cases, sorted by priority (critical > high > medium > low), then by ID within each priority level:
- Select 2-5 cases that share the same module, feature area, or user flow
- Present to the user:
- Batch: which cases (e.g., UAT-005, UAT-006, UAT-007)
- Area: the functional area they belong to
- Rationale: why they belong together
- Relevant files: source files and components expected to be involved
- Proceed after presenting (no user confirmation needed — this is a code-only check)
Phase 3: Gather Context
Before checking any logic, collect the full picture for the batch's feature area:
- Read all source files relevant to the batch
- Trace the data flow for the feature area end-to-end
- Note dependencies, shared state, API contracts, and external integrations
- Read existing tests for the relevant code — they reveal intent and edge cases
- Check the Covers field on each test case to identify which backlog stories are involved
- Read the story acceptance criteria from the relevant epic/backlog file
Do NOT proceed to logic checks until you have the full picture.
Phase 4: Code Logic Check (per case)
For each case in the batch:
- Read the test case steps and acceptance criteria carefully
- Trace each step through the actual source code
- For each acceptance criterion, verify:
- The code path exists and is reachable
- Conditionals are correct (no off-by-one, no inverted logic)
- Data flows correctly between components
- Error handling covers the expected failure modes
- Edge cases mentioned in the test case are handled
- Assign a verdict with confidence (high = full code path traced, medium = partial trace or complex logic, low = inference without full trace):
- Pass (high/medium/low) — logic is correct, code handles the scenario properly
- Warning (high/medium/low) — potential issue found, describe with file:line reference
- Fail (high/medium/low) — confirmed broken, describe with file:line reference and root cause
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.
- 11d ago First seen · 136 lines · 29 tokens per session scan A 66d189912244
claude-sense-check is a skill published in the GitHub repository joris887/exosuit (4 stars, last pushed 21d ago), licensed MIT. It adds 29 tokens to every session and 1,314 once invoked, about $0.0001 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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