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 Gesondian/ai-collab-governance-skills --skill evidence-boundarygit clone --depth 1 https://github.com/Gesondian/ai-collab-governance-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/gesondian/ai-collab-governance-skills/evidence-boundary)<a href="https://agentmods.dev/skills/gesondian/ai-collab-governance-skills/evidence-boundary"><img src="https://agentmods.dev/badge/skills/gesondian/ai-collab-governance-skills/evidence-boundary/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/gesondian/ai-collab-governance-skills/evidence-boundary"><img src="https://agentmods.dev/badge/skills/gesondian/ai-collab-governance-skills/evidence-boundary.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 | $0.00030 | $0.00547 |
| Opus 5.5 | $0.00012 | $0.00219 |
| Sonnet 5.5 | $0.00006 | $0.00109 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
evidence-boundary 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evidence Boundary
Core Principle
Evidence is a boundary, not a slogan. A conclusion may only cover what the evidence directly proves.
Evidence Classes
| Evidence | Can Support | Cannot Support |
|---|---|---|
| Route reachable | The route loads under tested conditions. | The workflow is usable or business-correct. |
| Single surface check | That exact surface passed the stated assertion. | All similar surfaces passed. |
| Mock data render | The UI can render a synthetic shape. | Real business rules, permissions, or data lifecycles work. |
| Static scan | Certain text or code patterns are absent or present. | Runtime behavior is correct. |
| Visual screenshot | Layout at one viewport and data state. | Keyboard flow, permissions, or hidden states. |
| Prior receipt | What was previously asserted by that receipt. | New or uncovered behavior. |
Procedure
- Name the claim being made.
- List the evidence references.
- For each evidence reference, state:
- scope covered,
- assertion level,
- fact source,
- freshness,
- blind spots.
- Downgrade any claim that exceeds the evidence.
- Record missing evidence before assigning acceptance or owner conclusions.
Supported Claim Levels
| Claim Level | Use When |
|---|---|
observed |
A concrete signal was seen, but no broader assertion is made. |
route_reachable |
Navigation reached the tested route. |
surface_checked |
A named surface passed named assertions. |
workflow_checked |
A multi-step workflow passed with stated data and role assumptions. |
accepted_scope_limited |
Acceptance is bounded to listed dimensions only. |
not_supported |
Evidence is insufficient for the proposed claim. |
Output Contract
claim:
evidence_refs:
covered_scope:
unsupported_scope:
missing_evidence:
safe_wording:
must_not_claim:
Common Mistakes
- Treating reachability as usability.
- Treating one successful example as class-wide proof.
- Treating mock rendering as real data correctness.
- Inheriting a conclusion from another receipt without checking its scope.
- Saying a capability is shared merely because a shared-looking file exists.
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 · 72 lines · 30 tokens per session scan A 097f66162e02
evidence-boundary is a skill published in the GitHub repository Gesondian/ai-collab-governance-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 547 once invoked, about $0.0001 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 2026-08-31.
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