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 agent-friction-ledgergit 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/agent-friction-ledger)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/agent-friction-ledger"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/agent-friction-ledger/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/agent-friction-ledger"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/agent-friction-ledger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.00723 |
| Opus 5 | $0.00031 | $0.00362 |
| Sonnet 5 | $0.00012 | $0.00145 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
agent-friction-ledger 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Friction Ledger
Turn repeatable agent friction into a small, actionable local artifact. This skill is opt-in and never sends session data outside the workspace.
Trigger
Use only when:
- the user explicitly asks for a friction report or review.
Do not run merely because a task had normal shell output, a single failed command, or a clean completion.
Capture Rules
Record only friction that is actionable and evidenced by the current task:
- repeated blocker or retry loop;
- misleading, incomplete, or contradictory error;
- missing, stale, or hard-to-find documentation;
- tool, provider, environment, or version incompatibility;
- manual workaround that should become a durable improvement.
Do not record every tool call, full conversation, raw logs, private URLs, credentials, personal data, client data, or unrelated working-tree changes.
Workflow
- Name the task boundary and identify only the material friction events.
- For each event, record:
symptom -> attempted -> root cause -> resolution -> durable fix. - Mark confidence: confirmed, likely, or unresolved. Do not turn a guess into a root cause.
- Redact or omit sensitive content before writing.
- Write a local report to an ignored or private location only. Default to
.git/agent-friction/YYYY-MM-DD-<task>.mdunless the repo defines another approved ignored path. - Group action items under
docs,tooling,skill/process, andresearch. - Propose the smallest durable change, but do not apply it without normal task authorization.
Report Shape
# Agent Friction Report: <task>
## Scope
## Material Friction
### <short label>
- Symptom:
- Attempted:
- Root cause: <confirmed|likely|unresolved>
- Resolution:
- Durable fix:
## Action Items
### Docs
### Tooling
### Skill / Process
### Research
## Decision
- Keep local / propose follow-up / no durable change
Guardrails
- Local Markdown only. Never POST to a viewer, telemetry endpoint, or external API.
- Never write to a tracked repo path by default. If no ignored/private location exists, stop and ask before writing.
- A friction report is not permission to create a ticket, alter a skill, edit docs, or change a process.
- Prefer one concise report over a growing per-turn buffer.
- If the task contains regulated, personal, client, deal, financial, or credential data, record the abstract failure mode only.
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 · 86 lines · 62 tokens per session scan A 9facc4413434
agent-friction-ledger is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 723 once invoked, about $0.0003 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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