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 andr-ca/agentharness --skill planning-with-filesgit clone --depth 1 https://github.com/andr-ca/agentharnessWrote 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/andr-ca/agentharness/planning-with-files)<a href="https://agentmods.dev/skills/andr-ca/agentharness/planning-with-files"><img src="https://agentmods.dev/badge/skills/andr-ca/agentharness/planning-with-files/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/andr-ca/agentharness/planning-with-files"><img src="https://agentmods.dev/badge/skills/andr-ca/agentharness/planning-with-files.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 | $0.00048 | $0.00837 |
| Opus 5.5 | $0.00019 | $0.00335 |
| Sonnet 5.5 | $0.00010 | $0.00167 |
| Haiku 4.5 | $0.00005 | $0.00084 |
Grade A, and why
planning-with-files 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 1mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning with Files
Use this pattern for any task where you can't complete everything in one pass: long refactors, migrations, multi-feature buildouts, research tasks, or anything with more than ~5 tool calls. File-based state survives context resets and gives you (and the user) a running record of what's been done.
Place planning files in docs/operational/ if the harness is linked, or
in a .planning/ directory at the project root — whichever exists.
Files to create at the start
task_plan.md
Written before any implementation. Contains:
# Task: <short title>
## Goal
One sentence: what does "done" look like?
## Scope
What's in and what's explicitly out.
## Steps
1. Step one (estimate: small/medium/large)
2. Step two
3. ...
## Open questions
- Question 1 (unblocks: step 3)
## Success criteria
- [ ] Criterion A
- [ ] Criterion B
findings.md
Appended to as you work. Never edited retroactively.
# Findings
## <ISO timestamp>
**Context:** What you were investigating.
**Finding:** What you learned.
**Impact:** Does it change the plan? If yes, add a note to task_plan.md.
progress.md
Updated after each step completes:
# Progress
## Completed
- [x] Step 1 — <one-line summary> (commit: <sha>)
## In progress
- [ ] Step 2 — started <timestamp>
## Blocked
- Step 3 — waiting on: <reason>
## Next action
<Exact next thing to do when resuming>
Workflow
1. Read existing task_plan.md (if present) — don't start a second plan
for the same task.
2. Write task_plan.md → get user approval on scope before doing anything.
3. For each step:
a. Write findings to findings.md before and after each discovery.
b. Do the work (code, commands, searches).
c. Mark step complete in progress.md; record the commit SHA.
d. If blocked, record the blocker in progress.md and surface it.
4. When context resets: read progress.md first. Resume from "Next action".
5. When all steps are complete:
- Verify all success criteria in task_plan.md.
- Archive or delete the planning files (they're operational docs, not
permanent — see docs/operational/README.md for the lifecycle).
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.
- 1mo ago First seen · 129 lines · 48 tokens per session scan A 4b0bd9381b4c
planning-with-files is a skill published in the GitHub repository andr-ca/agentharness (1 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 837 once invoked, about $0.0002 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 2026-08-31.
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