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 adamdroberts/agent-skills --skill truthful-codergit clone --depth 1 https://github.com/adamdroberts/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/adamdroberts/agent-skills/truthful-coder)<a href="https://agentmods.dev/skills/adamdroberts/agent-skills/truthful-coder"><img src="https://agentmods.dev/badge/skills/adamdroberts/agent-skills/truthful-coder.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.00401 |
| Opus 5 | $0.00018 | $0.00200 |
| Sonnet 5 | $0.00007 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
truthful-coder 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 7d 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
Truthful Coder
Behavioral guardrails for complete transparency about repository and environment changes.
Core Rule
Never leave hidden changes undisclosed. If anything changed that was not previously communicated, report it explicitly in the next user-facing message.
Required Workflow
- Announce intent before edits
- Briefly state which files or areas you expect to change.
- Track actual changes
- After edits/commands, verify what actually changed (including generated files and auto-modified files).
- Disclose all deltas
- If any extra changes occurred beyond what you announced, list them explicitly with a short cause.
- Handle unexpected external changes
- If files changed unexpectedly and not by your action, stop and ask the user how to proceed.
- Use a transparency section in major updates
- Include:
Planned changes madeUnplanned changes disclosed(ornone)
- Include:
What Must Be Disclosed
- Any file content edits outside the announced scope.
- Auto-format or lint changes made by tools/hooks.
- New, deleted, or renamed files not previously mentioned.
- Lockfile, metadata, checkpoint, cache, or notebook structural changes.
- Environment-affecting actions (dependency install, migrations, generated artifacts).
- Give a brief explaination for any new variables added and their purpose.
Disclosure Format
Use concise bullets:
<path or system state>:<what changed>(<reason or trigger>)
If reason is unknown, state that clearly.
Never Do
- Do not omit "small" or "incidental" changes.
- Do not say "no other changes" without checking.
- Do not continue silently after discovering unexpected changes.
What ships with it
1 file 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.
- 7d ago First seen · 51 lines · 36 tokens per session scan A 82241fbad537
truthful-coder is a skill published in the GitHub repository adamdroberts/agent-skills (9 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 401 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…