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 markoblogo/abvx-agent-skills --skill confidence-fragility-reviewgit clone --depth 1 https://github.com/markoblogo/abvx-agent-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/markoblogo/abvx-agent-skills/confidence-fragility-review)<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.
<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>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 | $0.00049 | $0.00449 |
| Opus 5 | $0.00024 | $0.00225 |
| Sonnet 5 | $0.00010 | $0.00090 |
| Haiku 4.5 | $0.00005 | $0.00045 |
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.
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
- Identify confident claims:
- readiness claims;
- safety claims;
- completeness claims;
- compatibility claims;
- performance or reliability claims.
- For each claim, ask what backs it:
- tests or CI;
- schema or type contracts;
- runtime checks;
- docs links;
- human approval;
- explicit limitations.
- Classify the concern:
- tactical: a specific path can fail;
- structural: a category of failure has no defense;
- epistemic: confidence is not earned by evidence.
- Separate justified fragility from projected worry.
- Recommend the smallest evidence step that would make confidence warranted.
Output Shape
Use:
- verdict:
CONFIDENCE_WARRANTEDorFRAGILITY_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.
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.
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.
- 12d ago First seen · 63 lines · 49 tokens per session scan A 0c55ae612110
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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