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 boparaiamrit/skills-by-amrit --skill verification-before-completiongit clone --depth 1 https://github.com/boparaiamrit/skills-by-amritWrote 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/boparaiamrit/skills-by-amrit/verification-before-completion)<a href="https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/verification-before-completion"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/verification-before-completion/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/boparaiamrit/skills-by-amrit/verification-before-completion"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/verification-before-completion.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 | $0.00040 | $0.01419 |
| Opus 5 | $0.00020 | $0.00709 |
| Sonnet 5 | $0.00008 | $0.00284 |
| Haiku 4.5 | $0.00004 | $0.00142 |
Grade A, and why
verification-before-completion 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 8d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verification Before Completion
Overview
Claiming work is complete without verification is dishonesty, not efficiency.
Core principle: Evidence before claims, always.
Violating the letter of this rule is violating the spirit of this rule.
The Iron Law
NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE
If you haven't run the verification command in this response, you cannot claim it passes.
When to Use
Always — before ANY of these claims:
- "Tests pass"
- "Build succeeds"
- "Bug is fixed"
- "Feature is complete"
- "Linter is clean"
- "Type-safe"
- "No regressions"
- "It works"
- "Done"
When NOT to Use
This skill has no exceptions. If you're about to claim something is done, use this skill.
Anti-Shortcut Rules
YOU CANNOT:
- Say "should work" — run it and show the output
- Say "tests pass" without test output in this response — stale evidence is not evidence
- Say "build succeeds" because "linter passed" — they're different things
- Trust a sub-agent's success claim — verify independently
- Use "looks good" as verification — what command proves it?
- Claim "done" based on mental reasoning — evidence is output, not thought
- Skip full test suite because "only this file changed" — regressions are unexpected
- Express satisfaction ("Great!", "Perfect!") before verification — verify, then celebrate
Common Rationalizations (Don't Accept These)
| Excuse | Reality |
|---|---|
| "Should work now" | RUN the verification |
| "I'm confident" | Confidence ≠ evidence |
| "Just this once" | No exceptions |
| "Linter passed" | Linter ≠ compiler ≠ tests |
| "Agent said success" | Verify independently |
| "I'm tired" | Exhaustion ≠ excuse |
| "Partial check is enough" | Partial proves nothing |
| "Different words, so rule doesn't apply" | Spirit over letter |
| "I checked mentally" | Mental checks aren't evidence |
| "It's a trivial change" | Trivial changes cause most outages |
Iron Questions
1. What COMMAND proves this claim? (name the exact command)
2. Have I run that command in THIS response? (not earlier, not "just now")
3. Does the output ACTUALLY confirm the claim? (read the output — don't skim)
4. Did I check the EXIT CODE? (0 = success, not always)
5. Are there any WARNINGS I'm ignoring? (warnings often become errors)
6. Did I run the FULL relevant suite? (not just one test)
7. Am I claiming more than the evidence shows? ("tests pass" vs "these 3 tests pass")
8. Would I bet money on this claim based on this evidence? (if not, gather more)
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.
- 8d ago First seen · 168 lines · 40 tokens per session scan A fe80b84b5433
verification-before-completion is a skill published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 1,419 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 2026-09-03.
Other skills, from other repositories
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
neuron-evaluation-engineer
Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.