claude-code-log is a Python command-line tool that turns Claude Code transcript files into readable HTML or Markdown logs. It helps people browse individual sessions or complete project archives, with options for interactive browsing and live updates. The catalogue add-ons extend its use as an agent-related workflow.
Borrowing it
Nothing to install: this file belongs to daaain/claude-code-log. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/daaain/claude-code-log/main/.claude/skills/foldyard/SKILL.mdgit clone --depth 1 https://github.com/daaain/claude-code-logWrote 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/daaain/claude-code-log/foldyard)<a href="https://agentmods.dev/skills/daaain/claude-code-log/foldyard"><img src="https://agentmods.dev/badge/skills/daaain/claude-code-log/foldyard/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/daaain/claude-code-log/foldyard"><img src="https://agentmods.dev/badge/skills/daaain/claude-code-log/foldyard.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 | $0.00100 | $0.01253 |
| Opus 5.5 | $0.00040 | $0.00501 |
| Sonnet 5.5 | $0.00020 | $0.00251 |
| Haiku 4.5 | $0.00010 | $0.00125 |
Grade A, and why
foldyard 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 2mo 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Working in (and on) a foldyard dev box
Foldyard runs this project inside a rootless VM that mounts only this repo. You are almost certainly in the box — a container in that VM — and the person you're working with is on the host (their Mac). That split explains nearly everything below.
Check where you are: fy mode prints the posture and says which side it's reading from.
fy verify proves the boundary (it exits non-zero if any of it is false).
The four facts that will save you the most time
- You cannot push. No credential to the git remote reaches the box, by design. Read and commit locally; the human pushes. Don't try to work around it — there is nothing to find.
- You hold no real secrets, and can't grant yourself any. Posture state lives in the host's
home, outside the mount.
fy modeshows posture anywhere; setting it is host-only. - Your egress goes through the host's proxy and may be allow-listed or walled. A blocked host is a decision, not a bug — ask; don't route around it.
- The engine socket you have is real and bounded to this VM.
docker/podmancommands work and act on the live dev stack — including anything a test suite's mocks let slip.
Ask the tool, don't guess
Foldyard is introspectable, and its own output is always current — prefer it over any summary (including this one):
| question | command |
|---|---|
| what can this environment do right now? | fy mode (posture), fy state (desired vs observed) |
| what's broken / missing? | fy doctor — one line per check, each with its fix |
| is the isolation intact? | fy verify |
| what does this verb do? | fy --help, fy <verb> --help |
| the manual, offline, by topic | fy docs — then fy docs <topic> |
| what does the config let the host do? | fy config widenings |
fy docs serves this install's documentation, so it can't drift from the code you're running.
Start with fy docs quickstart, fy docs modes, fy docs networking, fy docs security; the
ADRs (fy docs adr-0001 …) carry the reasoning behind each design decision.
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.
- 2mo ago First seen · 85 lines · 100 tokens per session scan A 0f662918c6ad
foldyard is a skill published in the GitHub repository daaain/claude-code-log (1,255 stars, last pushed yesterday), licensed MIT. It adds 100 tokens to every session and 1,253 once invoked, about $0.0004 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 2026-08-30.
foldyard compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| foldyarddaaain/claude-code-log | Skill | 1.3k | yesterday | MIT | A | 100 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |