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 OpenMinis/MinisSkills --skill evidence-chain-buildergit clone --depth 1 https://github.com/OpenMinis/MinisSkillsWrote 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/openminis/minisskills/evidence-chain-builder)<a href="https://agentmods.dev/skills/openminis/minisskills/evidence-chain-builder"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/evidence-chain-builder/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/openminis/minisskills/evidence-chain-builder"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/evidence-chain-builder.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 | $0.00209 | $0.02305 |
| Opus 5.5 | $0.00084 | $0.00922 |
| Sonnet 5.5 | $0.00042 | $0.00461 |
| Haiku 4.5 | $0.00021 | $0.00231 |
Grade A, and why
evidence-chain-builder 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 14d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evidence Chain Builder
Overview
scripts/evidence_chain.py splits a claim from its evidence and scores how well the
evidence carries it. Every evidence item is tagged with a source type, and the type
decides whether that item counts:
| type | counts as independently verifiable |
|---|---|
official — a primary document, filing, standard, or the issuing body itself |
yes |
paper — peer-reviewed literature, or a dataset with a stated method |
yes |
data — raw measurements, logs, exports the user can re-run |
yes |
internal — the user's own notes, records, or an undocumented internal number |
no |
assertion — the claim restated, someone's opinion, or no source stated |
no |
The score is the share of items that count, as a percentage. internal and
assertion are not "worth less" by taste — they are items nobody outside the
conversation can check, and that is the property the score is measuring.
Full taxonomy, edge cases and tagging rules: references/evidence-types.md.
The one boundary that matters
This tool does not decide whether a claim is true. It grades the evidence, and nothing else.
That boundary is the whole point. A grader that also pronounced on truth would reproduce exactly the failure it exists to catch — a confident verdict unsupported by anything. So the tool reports what can be checked and what cannot, and stops.
Two consequences to carry into your answer:
- A score of 100 does not mean the claim is correct. It means every item offered is the kind of thing that could be checked. Nobody has checked it yet.
- A low score does not mean the claim is false. It means the claim is not established, which is a different and more useful statement.
Never upgrade "not established" into "false", and never upgrade a high score into "true". Both are the same mistake in opposite directions.
Workflow
- Separate the claim from the evidence before running anything. Write the claim as one sentence. If the user gave you three conclusions, that is three runs — a single chain will average unrelated things and hide the weak one.
- Tag every item, and tag honestly. An item is
officialonly if it names a document or issuing body that exists independently of the conversation. "Our records show" isinternal. "Studies suggest" with no study isassertion. If you cannot tell what an item is, it isassertionuntil the user says otherwise — guessing a stronger type defeats the tool. - Run the tool (command below).
- Read the verdict band, not just the number. The bands are defined below.
- Name the gap concretely. Do not report "the evidence is weak". Report which items are unverifiable and what specifically would replace each one — "the failure-rate figure needs the QA report it came from, not a description of it".
- Report the score and the gap together. A score without the unverifiable list invites the reader to treat the number as a quality grade, which it is not.
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.
- 14d ago First seen · 192 lines · 209 tokens per session scan A e1b54582e6af
evidence-chain-builder is a skill published in the GitHub repository OpenMinis/MinisSkills (502 stars, last pushed 2d ago), licensed MIT. It adds 209 tokens to every session and 2,305 once invoked, about $0.0008 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 2026-10-06.
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