confidence-fragility-review

confidence-fragility-review is a skill for Codex from markoblogo/abvx-agent-skills. It costs 49 tokens per session (449 once invoked), scanned A, original, MIT.

A review process for checking whether confident claims in software artifacts are supported by evidence.

In plain words
What is it for?
Use it before shipping or publishing to assess claims about readiness, safety, completeness, compatibility, performance, or reliability.
Why use it?
It helps reveal when a plan, README, release note, or generated document sounds more certain than its tests, contracts, or safeguards justify.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it before shipping or publishing to assess claims about readiness, safety, completeness, compatibility, performance, or reliability.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/confidence-fragility-review
Install

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.

Any agent
npx skills add markoblogo/abvx-agent-skills --skill confidence-fragility-review
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for confidence-fragility-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/confidence-fragility-review/github.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/confidence-fragility-review)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/confidence-fragility-review"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/confidence-fragility-review/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.

agentmods 80×15 button for confidence-fragility-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/confidence-fragility-review"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/confidence-fragility-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 449 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00449
Opus 5 $0.00024 $0.00225
Sonnet 5 $0.00010 $0.00090
Haiku 4.5 $0.00005 $0.00045

Measured 12d ago against content hash 0c55ae612110, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

confidence-fragility-review 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 12d 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.

skills/confidence-fragility-review/SKILL.md · 63 lines

What it actually says

Confidence Fragility Review

Stress-test the gap between how confident an artifact sounds and how much evidence actually supports it.

Use When

  • a plan, release note, README, landing page, or SET bundle sounds ready but proof is thin;
  • generated docs imply stronger guarantees than the repo can support;
  • final review needs a fear-oriented lens before ship;
  • a user asks what could go wrong if people trust the artifact at face value.

Workflow

  1. Identify confident claims:
    • readiness claims;
    • safety claims;
    • completeness claims;
    • compatibility claims;
    • performance or reliability claims.
  2. For each claim, ask what backs it:
    • tests or CI;
    • schema or type contracts;
    • runtime checks;
    • docs links;
    • human approval;
    • explicit limitations.
  3. Classify the concern:
    • tactical: a specific path can fail;
    • structural: a category of failure has no defense;
    • epistemic: confidence is not earned by evidence.
  4. Separate justified fragility from projected worry.
  5. Recommend the smallest evidence step that would make confidence warranted.

Output Shape

Use:

  • verdict: CONFIDENCE_WARRANTED or FRAGILITY_MASKED;
  • confidence claims reviewed;
  • evidence found;
  • fragility register: tactical, structural, or epistemic;
  • smallest proof step.

Guardrails

  • Do not turn this into a generic risk audit.
  • Do not demand proof for every harmless claim.
  • Do not perform security analysis unless the artifact makes security claims.
  • Be explicit when a fear is plausible but not evidenced.

Provenance

Adapted from the anxiety-reader pattern in aself101/agents-and-pipelines, reframed as a compact confidence-vs-evidence review skill.

Files

What ships with it

2 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.

Changes

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.

  1. 12d ago First seen · 63 lines · 49 tokens per session scan A 0c55ae612110

Subscribe to this mod's changes

confidence-fragility-review is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 449 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 2026-08-30.

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