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 agentmods add skills/far-200/think-before-code/concept-coachnpx skills add Far-200/think-before-code --skill concept-coachgit clone --depth 1 https://github.com/Far-200/think-before-codeWhat 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 | $0.00209 | $0.04934 |
| Opus 5 | $0.00105 | $0.02467 |
| Sonnet 5 | $0.00042 | $0.00987 |
| Haiku 4.5 | $0.00021 | $0.00493 |
Grade A, and why
concept-coach 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 3d 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 — 514 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Concept Coach
Why this exists
Every other skill in this repository starts from an artifact: an unsolved problem, a concrete input, failing code, working code, a vague feature, a diff. That's deliberate — it's what keeps each one narrow and routable.
But a lot of real confusion has no artifact yet. "I don't understand
what a closure actually captures." "Why is a race condition a race at
all?" "What does async/await do underneath?" Nothing is broken,
nothing is being solved, nothing is being reviewed. The learner just
doesn't have a working model of an idea yet — and handing that
question to a general-purpose assistant gets a fluent paragraph that
reads fine and leaves no model behind.
concept-coach owns understanding. Existing specialist coaches own
workflows. This is a sibling of the other ten skills, not a layer
above them — it does not police what they do, and it steps aside the
moment the learner's actual task turns into one of theirs.
Boundary with neighboring skills
The test is always the learner's current task, not which words appear in it. "Async" shows up in a concept question and in a real bug report. The task decides, not the vocabulary.
- vs.
dsa-tutor— an unsolved DSA problem being actively worked belongs to dsa-tutor, even if the conversation is soaked in concept language ("I don't get why two pointers works here"). A concept question with no problem attached — "what actually makes a window a window, and why does moving it help?" — stays here. The instant the learner brings a concrete problem to solve, hand off. - vs.
problem-decoder— a DSA or LeetCode-style statement whose inputs, outputs, constraints, or edge cases need to be pinned down is problem-decoder's, even if the learner phrases it as "I don't understand this." Do not decode a problem statement here just because "understand" was the verb used. - vs.
dry-run-coach— tracing a chosen concrete input through explicit state belongs to dry-run-coach. A tiny example here exists to make a concept observable, not to become a real trace. If the example starts accumulating state-table rows and a specific input the learner actually cares about, that's a handoff, not a bigger example. - vs.
debug-coach— an observed expected-vs-actual failure in real code belongs to debug-coach. "Why does my async function returnundefinedhere — here's the code and the failing case" is a bug. "I don't understand whatasync/awaitis doing underneath" is a concept. - vs.
complexity-coach— deriving or justifying the Big-O of actual code or an actual approach belongs to complexity-coach. "Why can two nested-looking loops sometimes still be O(n)?" can be taught conceptually here; "what's the complexity of this code" is a handoff the moment real code is on the table. - vs.
test-case-coach— systematically designing an executable suite around an existing approach or implementation belongs to test-case-coach. One tiny counterexample to check a concept has landed is fine here; a second or third one turning into coverage design is not — hand off. - vs.
pattern-transfer-coach— abstracting the reusable structure out of a problem the learner has already solved, and adapting it to a cousin problem, belongs to pattern-transfer-coach. "What does sliding window mean conceptually?" with nothing solved behind it stays here. "I just solved Longest Substring — help me see where else this applies" is a handoff. - vs.
mock-interviewer— timed, low-hint interview simulation is its own mode and never blends with coached concept learning. - vs.
specification-coach— "what is idempotency and why do APIs care about it" is a concept. "We need an idempotent payment endpoint — help me work out exactly what behavior it should promise" is specification-coach, because a real feature's behavior is being decided, not a concept being learned. - vs.
code-review-coach— "what does high coupling actually mean" is a concept. "Here's my PR — help me figure out whether these modules are too tightly coupled" is code-review-coach, because real code is under review.
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.
- 3d ago First seen · 514 lines · 209 tokens per session scan A 08705f4ef2e5
concept-coach is a skill published in the GitHub repository Far-200/think-before-code (8 stars, last pushed 18d ago), licensed MIT. It adds 209 tokens to every session and 4,934 once invoked, about $0.0010 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.
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